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  • subprocess installed post-installation script returned error exit code 1

    - by Laura quintero
    I had installed snort on ubuntu 11.04 and uninstall it because I had problems, to reinstall it leaves a problem: Reading package lists ... done Building dependency tree Reading state information ... done Calculating upgrade ... ready 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 1 not fully installed or removed. 0 B will be used for additional disk space after this operation. Do you want to continue [S / n]? s Configuring snort (2.8.5.2-9.1) ... * Stopping Network Intrusion Detection System snort * - No running snort instance found * Starting Network Intrusion Detection System snort [fail] invoke-rc.d: initscript snort, action "start" failed. dpkg: error processing snort (- configure): subprocess installed post-installation script returned error exit code 1 Errors were encountered while processing: snort E: Sub-process / usr / bin / dpkg Returned an error code (1) any solution? Commands allready used apt-get clean apt-get remove snort sudo apt-get dist-upgrade dpkg - remove - force-remove-reinstreq snort and nothing.

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  • SQL SERVER – Curious Case of Disappearing Rows – ON UPDATE CASCADE and ON DELETE CASCADE – Part 1 of 2

    - by pinaldave
    Social media has created an Always Connected World for us. Recently I enrolled myself to learn new technologies as a student. I had decided to focus on learning and decided not to stay connected on the internet while I am in the learning session. On the second day of the event after the learning was over, I noticed lots of notification from my friend on my various social media handle. He had connected with me on Twitter, Facebook, Google+, LinkedIn, YouTube as well SMS, WhatsApp on the phone, Skype messages and not to forget with a few emails. I right away called him up. The problem was very unique – let us hear the problem in his own words. “Pinal – we are in big trouble we are not able to figure out what is going on. Our product details table is continuously loosing rows. Lots of rows have disappeared since morning and we are unable to find why the rows are getting deleted. We have made sure that there is no DELETE command executed on the table as well. The matter of the fact, we have removed every single place the code which is referencing the table. We have done so many crazy things out of desperation but no luck. The rows are continuously deleted in a random pattern. Do you think we have problems with intrusion or virus?” After describing the problems he had pasted few rants about why I was not available during the day. I think it will be not smart to post those exact words here (due to many reasons). Well, my immediate reaction was to get online with him. His problem was unique to him and his team was all out to fix the issue since morning. As he said he has done quite a lot out in desperation. I started asking questions from audit, policy management and profiling the data. Very soon I realize that I think this problem was not as advanced as it looked. There was no intrusion, SQL Injection or virus issue. Well, long story short first - It was a very simple issue of foreign key created with ON UPDATE CASCADE and ON DELETE CASCADE.  CASCADE allows deletions or updates of key values to cascade through the tables defined to have foreign key relationships that can be traced back to the table on which the modification is performed. ON DELETE CASCADE specifies that if an attempt is made to delete a row with a key referenced by foreign keys in existing rows in other tables, all rows containing those foreign keys are also deleted. ON UPDATE CASCADE specifies that if an attempt is made to update a key value in a row, where the key value is referenced by foreign keys in existing rows in other tables, all of the foreign key values are also updated to the new value specified for the key. (Reference: BOL) In simple words – due to ON DELETE CASCASE whenever is specified when the data from Table A is deleted and if it is referenced in another table using foreign key it will be deleted as well. In my friend’s case, they had two tables, Products and ProductDetails. They had created foreign key referential integrity of the product id between the table. Now the as fall was up they were updating their catalogue. When they were updating the catalogue they were deleting products which are no more available. As the changes were cascading the corresponding rows were also deleted from another table. This is CORRECT. The matter of the fact, there is no error or anything and SQL Server is behaving how it should be behaving. The problem was in the understanding and inappropriate implementations of business logic.  What they needed was Product Master Table, Current Product Catalogue, and Product Order Details History tables. However, they were using only two tables and without proper understanding the relation between them was build using foreign keys. If there were only two table, they should have used soft delete which will not actually delete the record but just hide it from the original product table. This workaround could have got them saved from cascading delete issues. I will be writing a detailed post on the design implications etc in my future post as in above three lines I cannot cover every issue related to designing and it is also not the scope of the blog post. More about designing in future blog posts. Once they learn their mistake, they were happy as there was no intrusion but trust me sometime we are our own enemy and this is a great example of it. In tomorrow’s blog post we will go over their code and workarounds. Feel free to share your opinions, experiences and comments. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • MySQL Database Query Problem

    - by moustafa
    I need your help!!!. I need to query a table in my database that has record of goods sold. I want the query to detect a particular product and also calculate the quantity sold. The product are 300 now, but it would increase in the future. Below is a sample of my DB Table #---------------------------- # Table structure for litorder #---------------------------- CREATE TABLE `litorder` ( `id` int(10) NOT NULL auto_increment, `name` varchar(50) NOT NULL default '', `address` varchar(50) NOT NULL default '', `xdate` date NOT NULL default '0000-00-00', `ref` varchar(20) NOT NULL default '', `code1` varchar(50) NOT NULL default '', `code2` varchar(50) NOT NULL default '', `code3` varchar(50) NOT NULL default '', `code4` varchar(50) NOT NULL default '', `code5` varchar(50) NOT NULL default '', `code6` varchar(50) NOT NULL default '', `code7` varchar(50) NOT NULL default '', `code8` varchar(50) NOT NULL default '', `code9` varchar(50) NOT NULL default '', `code10` varchar(50) NOT NULL default '', `code11` varchar(50) character set latin1 collate latin1_bin NOT NULL default '', `code12` varchar(50) NOT NULL default '', `code13` varchar(50) NOT NULL default '', `code14` varchar(50) NOT NULL default '', `code15` varchar(50) NOT NULL default '', `product1` varchar(100) NOT NULL default '0', `product2` varchar(100) NOT NULL default '0', `product3` varchar(100) NOT NULL default '0', `product4` varchar(100) NOT NULL default '0', `product5` varchar(100) NOT NULL default '0', `product6` varchar(100) NOT NULL default '0', `product7` varchar(100) NOT NULL default '0', `product8` varchar(100) NOT NULL default '0', `product9` varchar(100) NOT NULL default '0', `product10` varchar(100) NOT NULL default '0', `product11` varchar(100) NOT NULL default '0', `product12` varchar(100) NOT NULL default '0', `product13` varchar(100) NOT NULL default '0', `product14` varchar(100) NOT NULL default '0', `product15` varchar(100) NOT NULL default '0', `price1` int(10) NOT NULL default '0', `price2` int(10) NOT NULL default '0', `price3` int(10) NOT NULL default '0', `price4` int(10) NOT NULL default '0', `price5` int(10) NOT NULL default '0', `price6` int(10) NOT NULL default '0', `price7` int(10) NOT NULL default '0', `price8` int(10) NOT NULL default '0', `price9` int(10) NOT NULL default '0', `price10` int(10) NOT NULL default '0', `price11` int(10) NOT NULL default '0', `price12` int(10) NOT NULL default '0', `price13` int(10) NOT NULL default '0', `price14` int(10) NOT NULL default '0', `price15` int(10) NOT NULL default '0', `quantity1` int(10) NOT NULL default '0', `quantity2` int(10) NOT NULL default '0', `quantity3` int(10) NOT NULL default '0', `quantity4` int(10) NOT NULL default '0', `quantity5` int(10) NOT NULL default '0', `quantity6` int(10) NOT NULL default '0', `quantity7` int(10) NOT NULL default '0', `quantity8` int(10) NOT NULL default '0', `quantity9` int(10) NOT NULL default '0', `quantity10` int(10) NOT NULL default '0', `quantity11` int(10) NOT NULL default '0', `quantity12` int(10) NOT NULL default '0', `quantity13` int(10) NOT NULL default '0', `quantity14` int(10) NOT NULL default '0', `quantity15` int(10) NOT NULL default '0', `amount1` int(10) NOT NULL default '0', `amount2` int(10) NOT NULL default '0', `amount3` int(10) NOT NULL default '0', `amount4` int(10) NOT NULL default '0', `amount5` int(10) NOT NULL default '0', `amount6` int(10) NOT NULL default '0', `amount7` int(10) NOT NULL default '0', `amount8` int(10) NOT NULL default '0', `amount9` int(10) NOT NULL default '0', `amount10` int(10) NOT NULL default '0', `amount11` int(10) NOT NULL default '0', `amount12` int(10) NOT NULL default '0', `amount13` int(10) NOT NULL default '0', `amount14` int(10) NOT NULL default '0', `amount15` int(10) NOT NULL default '0', `totalNaira` double(20,0) NOT NULL default '0', `totalDollar` int(20) NOT NULL default '0', PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 COMMENT='InnoDB free: 4096 kB; InnoDB free: 4096 kB; InnoDB free: 409'; #---------------------------- # Records for table litorder #---------------------------- insert into litorder values (27, 'Sanyaolu Fisayo', '14 Adegboyega Street Palmgrove Lagos', '2010-05-31', '', 'DL 001', 'DL 002', 'DL 003', '', '', '', '', '', '', '', '', '', '', '', '', 'AILMENT & PREVENTION DVD- ENGLISH', 'AILMENT & PREVENTION DVD- HAUSA', 'BEAUTY CD', '', '', '', '', '', '', '', '', '', '', '', '', 800, 800, 3000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 16, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12800, 12800, 60000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, '85600', 563), (28, 'Irenonse Esther', 'Lagos,Nigeria', '2010-06-01', '', 'DL 005', 'DL 008', 'FC 004', '', '', '', '', '', '', '', '', '', '', '', '', 'GET HEALTHY DVD', 'YOUR FUTURE DVD', 'FOREVER FACE CAP (YELLOW)', '', '', '', '', '', '', '', '', '', '', '', '', 1000, 900, 2000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2000, 1800, 6000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, '9800', 64), (29, 'Kalu Lekway', 'Lagos, Nigeria', '2010-06-01', '', 'DL 001', 'DL 003', '', '', '', '', '', '', '', '', '', '', '', '', '', 'AILMENT & PREVENTION DVD- ENGLISH', 'BEAUTY CD', '', '', '', '', '', '', '', '', '', '', '', '', '', 800, 3000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2400, 18000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, '20400', 133), (30, 'Dele', 'Ilupeju', '2010-06-02', '', 'DL 001', 'DL 003', '', '', '', '', '', '', '', '', '', '', '', '', '', 'AILMENT & PREVENTION DVD- ENGLISH', 'BEAUTY CD', '', '', '', '', '', '', '', '', '', '', '', '', '', 800, 3000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8000, 30000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, '38000', 250);

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  • Oracle Enterprise Data Quality: Ever Integration-ready

    - by Mala Narasimharajan
    It is closing in on a year now since Oracle’s acquisition of Datanomic, and the addition of Oracle Enterprise Data Quality (EDQ) to the Oracle software family. The big move has caused some big shifts in emphasis and some very encouraging excitement from the field.  To give an illustration, combined with a shameless promotion of how EDQ can help to give quick insights into your data, I did a quick Phrase Profile of the subject field of emails to the Global EDQ mailing list since it was set up last September. The results revealed a very clear theme:   Integration, Integration, Integration! As well as the important Siebel and Oracle Data Integrator (ODI) integrations, we have been asked about integration with a huge variety of Oracle applications, including EBS, Peoplesoft, CRM on Demand, Fusion, DRM, Endeca, RightNow, and more - and we have not stood still! While it would not have been possible to develop specific pre-integrations with all of the above within a year, we have developed a package of feature-rich out-of-the-box web services and batch processes that can be plugged into any application or middleware technology with ease. And with Siebel, they work out of the box. Oracle Enterprise Data Quality version 9.0.4 includes the Customer Data Services (CDS) pack – a ready set of standard processes with standard interfaces, to provide integrated: Address verification and cleansing  Individual matching Organization matching The services can are suitable for either Batch or Real-Time processing, and are enabled for international data, with simple configuration options driving the set of locale-specific dictionaries that are used. For example, large dictionaries are provided to support international name transcription and variant matching, including highly specialized handling for Arabic, Japanese, Chinese and Korean data. In total across all locales, CDS includes well over a million dictionary entries.   Excerpt from EDQ’s CDS Individual Name Standardization Dictionary CDS has been developed to replace the OEM of Informatica Identity Resolution (IIR) for attached Data Quality on the Oracle price list, but does this in a way that creates a ‘best of both worlds’ situation for customers, who can harness not only the out-of-the-box functionality of pre-packaged matching and standardization services, but also the flexibility of OEDQ if they want to customize the interfaces or the process logic, without having to learn more than one product. From a competitive point of view, we believe this stands us in good stead against our key competitors, including Informatica, who have separate ‘Identity Resolution’ and general DQ products, and IBM, who provide limited out-of-the-box capabilities (with a steep learning curve) in both their QualityStage data quality and Initiate matching products. Here is a brief guide to the main services provided in the pack: Address Verification and Standardization EDQ’s CDS Address Cleaning Process The Address Verification and Standardization service uses EDQ Address Verification (an OEM of Loqate software) to verify and clean addresses in either real-time or batch. The Address Verification processor is wrapped in an EDQ process – this adds significant capabilities over calling the underlying Address Verification API directly, specifically: Country-specific thresholds to determine when to accept the verification result (and therefore to change the input address) based on the confidence level of the API Optimization of address verification by pre-standardizing data where required Formatting of output addresses into the input address fields normally used by applications Adding descriptions of the address verification and geocoding return codes The process can then be used to provide real-time and batch address cleansing in any application; such as a simple web page calling address cleaning and geocoding as part of a check on individual data.     Duplicate Prevention Unlike Informatica Identity Resolution (IIR), EDQ uses stateless services for duplicate prevention to avoid issues caused by complex replication and synchronization of large volume customer data. When a record is added or updated in an application, the EDQ Cluster Key Generation service is called, and returns a number of key values. These are used to select other records (‘candidates’) that may match in the application data (which has been pre-seeded with keys using the same service). The ‘driving record’ (the new or updated record) is then presented along with all selected candidates to the EDQ Matching Service, which decides which of the candidates are a good match with the driving record, and scores them according to the strength of match. In this model, complex multi-locale EDQ techniques can be used to generate the keys and ensure that the right balance between performance and matching effectiveness is maintained, while ensuring that the application retains control of data integrity and transactional commits. The process is explained below: EDQ Duplicate Prevention Architecture Note that where the integration is with a hub, there may be an additional call to the Cluster Key Generation service if the master record has changed due to merges with other records (and therefore needs to have new key values generated before commit). Batch Matching In order to allow customers to use different match rules in batch to real-time, separate matching templates are provided for batch matching. For example, some customers want to minimize intervention in key user flows (such as adding new customers) in front end applications, but to conduct a more exhaustive match on a regular basis in the back office. The batch matching jobs are also used when migrating data between systems, and in this case normally a more precise (and automated) type of matching is required, in order to minimize the review work performed by Data Stewards.  In batch matching, data is captured into EDQ using its standard interfaces, and records are standardized, clustered and matched in an EDQ job before matches are written out. As with all EDQ jobs, batch matching may be called from Oracle Data Integrator (ODI) if required. When working with Siebel CRM (or master data in Siebel UCM), Siebel’s Data Quality Manager is used to instigate batch jobs, and a shared staging database is used to write records for matching and to consume match results. The CDS batch matching processes automatically adjust to Siebel’s ‘Full Match’ (match all records against each other) and ‘Incremental Match’ (match a subset of records against all of their selected candidates) modes. The Future The Customer Data Services Pack is an important part of the Oracle strategy for EDQ, offering a clear path to making Data Quality Assurance an integral part of enterprise applications, and providing a strong value proposition for adopting EDQ. We are planning various additions and improvements, including: An out-of-the-box Data Quality Dashboard Even more comprehensive international data handling Address search (suggesting multiple results) Integrated address matching The EDQ Customer Data Services Pack is part of the Enterprise Data Quality Media Pack, available for download at http://www.oracle.com/technetwork/middleware/oedq/downloads/index.html.

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  • Namespaces are obsolete

    - by Bertrand Le Roy
    To those of us who have been around for a while, namespaces have been part of the landscape. One could even say that they have been defining the large-scale features of the landscape in question. However, something happened fairly recently that I think makes this venerable structure obsolete. Before I explain this development and why it’s a superior concept to namespaces, let me recapitulate what namespaces are and why they’ve been so good to us over the years… Namespaces are used for a few different things: Scope: a namespace delimits the portion of code where a name (for a class, sub-namespace, etc.) has the specified meaning. Namespaces are usually the highest-level scoping structures in a software package. Collision prevention: name collisions are a universal problem. Some systems, such as jQuery, wave it away, but the problem remains. Namespaces provide a reasonable approach to global uniqueness (and in some implementations such as XML, enforce it). In .NET, there are ways to relocate a namespace to avoid those rare collision cases. Hierarchy: programmers like neat little boxes, and especially boxes within boxes within boxes. For some reason. Regular human beings on the other hand, tend to think linearly, which is why the Windows explorer for example has tried in a few different ways to flatten the file system hierarchy for the user. 1 is clearly useful because we need to protect our code from bleeding effects from the rest of the application (and vice versa). A language with only global constructs may be what some of us started programming on, but it’s not desirable in any way today. 2 may not be always reasonably worth the trouble (jQuery is doing fine with its global plug-in namespace), but we still need it in many cases. One should note however that globally unique names are not the only possible implementation. In fact, they are a rather extreme solution. What we really care about is collision prevention within our application. What happens outside is irrelevant. 3 is, more than anything, an aesthetical choice. A common convention has been to encode the whole pedigree of the code into the namespace. Come to think about it, we never think we need to import “Microsoft.SqlServer.Management.Smo.Agent” and that would be very hard to remember. What we want to do is bring nHibernate into our app. And this is precisely what you’ll do with modern package managers and module loaders. I want to take the specific example of RequireJS, which is commonly used with Node. Here is how you import a module with RequireJS: var http = require("http"); .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } This is of course importing a HTTP stack module into the code. There is no noise here. Let’s break this down. Scope (1) is provided by the one scoping mechanism in JavaScript: the closure surrounding the module’s code. Whatever scoping mechanism is provided by the language would be fine here. Collision prevention (2) is very elegantly handled. Whereas relocating is an afterthought, and an exceptional measure with namespaces, it is here on the frontline. You always relocate, using an extremely familiar pattern: variable assignment. We are very much used to managing our local variable names and any possible collision will get solved very easily by picking a different name. Wait a minute, I hear some of you say. This is only taking care of collisions on the client-side, on the left of that assignment. What if I have two libraries with the name “http”? Well, You can better qualify the path to the module, which is what the require parameter really is. As for hierarchical organization, you don’t really want that, do you? RequireJS’ module pattern does elegantly cover the bases that namespaces used to cover, but it also promotes additional good practices. First, it promotes usage of self-contained, single responsibility units of code through the closure-based, stricter scoping mechanism. Namespaces are somewhat more porous, as using/import statements can be used bi-directionally, which leads us to my second point… Sane dependency graphs are easier to achieve and sustain with such a structure. With namespaces, it is easy to construct dependency cycles (that’s bad, mmkay?). With this pattern, the equivalent would be to build mega-components, which are an easier problem to spot than a decay into inter-dependent namespaces, for which you need specialized tools. I really like this pattern very much, and I would like to see more environments implement it. One could argue that dependency injection has some commonalities with this for example. What do you think? This is the half-baked result of some morning shower reflections, and I’d love to read your thoughts about it. What am I missing?

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  • Autofac

    - by csharp-source.net
    A .NET IoC container written in C#. Focus on programmatic configuration with builder syntax. Zero intrusion into existing code. Create components using reflection or with lambda expressions for unlimited flexibility. Managed disposal of any IDisposable components created by the container within a defined scope.

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  • w WARN: Thread pool pressure. Using current thread for a work item.

    - by GrumpyOldDBA
    The skill set needed by a DBA can be quite diverse at times and a run in with SSRS 2005 probably illustrates the point quite well. I don't have skills in IIS although I was responsible for the design and deployment of an online mortage application site some years ago.I had to get hands on with IIS5, firewalls, intrusion systems, ISA Server, dmzs, NAT, IP and lots of other acronyms so I have an understanding of these things but never had to do anything other than set up and configure IIS - no...(read more)

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  • Weaknesses of 3-Strike Security

    - by prelic
    I've been reading some literature on security, specifically password security/encryption, and there's been one thing that I've been wondering: is the 3-strike rule a perfect solution to password security? That is, if the number of password attempts is limited to some small number, after which all authentication requests will not be honored, will that not protect users from intrusion? I realize gaining access or control over something doesn't always mean going through the authentication system, but doesn't this feature make dictionary/brute-force attacks obsolete? Is there something I'm missing?

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  • Hacienda : Le programme qui permettra à la NSA et le GHCQ de conquérir Internet, grâce aux vulnérabilités réseaux de 27 pays espionnés

    Hacienda : Le programme qui permettra à la NSA et le GHCQ de conquérir Internet grâce aux vulnérabilités réseaux de 27 pays espionnés Un seul programme d'espionnage et d'intrusion informatique pour cinq pays différents, voilà donc la dernière révélation en date d'Edward Snowden.À travers une récente publication présentée par les confidents de Snowden, Jacob Appelbaum et Laura Poitras, le programme HACIENDA qui est financé par les pays du Five Eyes (États-Unis, Royaume-Uni, Nouvelle Zélande, Canada,...

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  • Game-over! Gaining Physical access to a computer

    Security requires defense in depth. The cleverest intrusion detection system, combined with the best antivirus, won’t help you if a malicious person can gain physical access to your PC or server. A routine job, helping a family member remove a malware infection, brings it home to Wesley just how easy it is to get a command prompt with SYSTEM access on any PC, and inspires him to give a warning about the consequences.

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  • Window focus confusion in unity

    - by Bryan Agee
    I like having focus prevention set to high, so that I don't have some stupid auto-launched app steal my typing in the middle of something else. Unfortunately, Unity keeps focus on the right window while raising the new one. A number of times, this has caused me to close an application by accident that had control of the menu bar, even though it was underneath the new window. Is there a way to prevent raise without focus?

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  • top tweets SOA Partner Community – June 2013

    - by JuergenKress
    Send your tweets @soacommunity #soacommunity and follow us at http://twitter.com/soacommunity Oracle SOA Learn how Business Rules are used in Oracle SOA Suite. New free self-study course - Oracle Univ. #soa #oraclesoa http://pub.vitrue.com/ll9B OPITZ CONSULTING ?Wie #BPM und #SOA zusammengehören? Watch 100-Seconds-Video-Lesson by @Rolfbaer - http://ow.ly/luSjK @soacommunity Andrejus Baranovskis ?Customized BPM 11g PS6 Workspace Application http://fb.me/2ukaSBXKs Mark Nelson ?Case Management Samples Released http://wp.me/pgVeO-Lv Mark Nelson Instance Patching Demo for BPM 11.1.1.7 http://wp.me/pgVeO-Lx Simone Geib Antony Reynolds: Target Verification #oraclesoa https://blogs.oracle.com/reynolds/ OPITZ CONSULTING ?"It's all about Integration - Developing with Oracle #Cloud Services" @t_winterberg files: http://ow.ly/ljtEY #cloudworld @soacommunity Arun Pareek ?Functional Testing Business Processes In Oracle BPM Suite 11g http://wp.me/pkPu1-pc via @arrunpareek SOA Proactive Want to get started with Human Workflow? Check out the introductory video on OTN, http://pub.vitrue.com/enIL C2B2 Consulting Free tech workshop,London 6th of Jun Diagnosing Performance & Scalability Problems in Oracle SOASuite http://www.c2b2.co.uk/oracle_fusion_middleware_performance_seminar … @soacommunity Oracle BPM Must have technologies for delivering effective #CX : #BPM #Social #Mobile > #OracleBPM Whitepaper http://pub.vitrue.com/6pF6 OracleBlogs ?Introduction to Web Forms -Basic Tutorial http://ow.ly/2wQLTE OTNArchBeat ?Complete State of SOA podcast now available w/ @soacommunity @hajonormann @gschmutz @t_winterberg #industrialsoa http://pub.vitrue.com/PZFw Ronald Luttikhuizen VENNSTER Blog | Article published - Fault Handling and Prevention - Part 2 | http://blog.vennster.nl/2013/05/article-published-fault-handling-and.html … Mark Nelson ?Getting to know Maven http://wp.me/pgVeO-Lk gschmutz ?Cool! Our 2nd article has just been published: "Fault Handling and Prevention for Services in Oracle Service Bus" http://pub.vitrue.com/jMOy David Shaffer Interesting SOA Development and Delivery post on A-Team Redstack site - http://bit.ly/18oqrAI . Would be great to get others to contribute! Mark Nelson BPM PS6 video showing process lifecycle in more detail (30min) http://wp.me/pgVeO-Ko SOA Proactive ?Webcast: 'Introduction and Troubleshooting of the SOA 11g Database Adapter', May 9th. Register now at http://pub.vitrue.com/8In7 Mark Nelson ?SOA Development and Delivery http://wp.me/pgVeO-Kd Oracle BPM Manoj Das, VP Product Mangement talks about new #OracleBPM release #BPM #processmanagement http://pub.vitrue.com/FV3R OTNArchBeat Podcast: The State of SOA w/ @soacommunity @hajonormann @gschmutz @t_winterberg #industrialsoa http://pub.vitrue.com/OK2M gschmutz New article series on Industrial SOA started on OTN and Service Technology Magazine: http://guidoschmutz.wordpress.com/2013/04/22/first-two-chapters-of-industrial-soa-articles-series-have-been-published-both-on-otn-and-service-technology-magazine/ … #industrialSOA Danilo Schmiedel ?Article series #industrialSOA published on OTN and Service Technology Magazine http://inside-bpm-and-soa.blogspot.de/2013/04/industrial-soa_22.html … @soacommunity @OC_WIRE SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Facebook Wiki Mix Forum Technorati Tags: twitter,SOA Community,Oracle SOA,Oracle BPM,Community,OPN,Jürgen Kress

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  • Window focus confusion in unity

    - by Bryan Agee
    I like having focus prevention set to high, so that I don't have some stupid auto-launched app steal my typing in the middle of something else. Unfortunately, Unity keeps focus on the right window while raising the new one. A number of times, this has caused me to close an application by accident that had control of the menu bar, even though it was underneath the new window. Is there a way to prevent raise without focus?

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  • Multiple Tomcat vulnerabilities in Oracle Health Sciences LabPas

    - by RitwikGhoshal
    CVE DescriptionCVSSv2 Base ScoreComponentProduct and Resolution CVE-2012-2733 Improper Input Validation vulnerability 5.0 Apache Tomcat Oracle Health Sciences LabPas upgrade to Apache Tomcat v6.0.36 CVE-2012-3439 DIGEST authentication implementation issues 5.0 CVE-2012-3546 Security constraints bypass vulnerability 5.5 CVE-2012-4431 CSRF prevention filter bypass vulnerability 4.3 CVE-2012-4534 Denial of Service (DoS) vulnerability 4.3 This notification describes vulnerabilities fixed in third-party components that are included in Oracle's product distributions.Information about vulnerabilities affecting Oracle products can be found on Oracle Critical Patch Updates and Security Alerts page.

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  • What Role Should SEO Play in the Development of Your Website?

    Most SEO experts will agree that they are mostly called out to do fire extinguishing rather than fire prevention, and in many cases it would have been far better to team up with SEO expertise from the beginning of developing your website than to wait until traffic isn't coming. You need to build your website in cooperation with the SEO expert right from the start.

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  • Fraud Detection with the SQL Server Suite Part 1

    - by Dejan Sarka
    While working on different fraud detection projects, I developed my own approach to the solution for this problem. In my PASS Summit 2013 session I am introducing this approach. I also wrote a whitepaper on the same topic, which was generously reviewed by my friend Matija Lah. In order to spread this knowledge faster, I am starting a series of blog posts which will at the end make the whole whitepaper. Abstract With the massive usage of credit cards and web applications for banking and payment processing, the number of fraudulent transactions is growing rapidly and on a global scale. Several fraud detection algorithms are available within a variety of different products. In this paper, we focus on using the Microsoft SQL Server suite for this purpose. In addition, we will explain our original approach to solving the problem by introducing a continuous learning procedure. Our preferred type of service is mentoring; it allows us to perform the work and consulting together with transferring the knowledge onto the customer, thus making it possible for a customer to continue to learn independently. This paper is based on practical experience with different projects covering online banking and credit card usage. Introduction A fraud is a criminal or deceptive activity with the intention of achieving financial or some other gain. Fraud can appear in multiple business areas. You can find a detailed overview of the business domains where fraud can take place in Sahin Y., & Duman E. (2011), Detecting Credit Card Fraud by Decision Trees and Support Vector Machines, Proceedings of the International MultiConference of Engineers and Computer Scientists 2011 Vol 1. Hong Kong: IMECS. Dealing with frauds includes fraud prevention and fraud detection. Fraud prevention is a proactive mechanism, which tries to disable frauds by using previous knowledge. Fraud detection is a reactive mechanism with the goal of detecting suspicious behavior when a fraudster surpasses the fraud prevention mechanism. A fraud detection mechanism checks every transaction and assigns a weight in terms of probability between 0 and 1 that represents a score for evaluating whether a transaction is fraudulent or not. A fraud detection mechanism cannot detect frauds with a probability of 100%; therefore, manual transaction checking must also be available. With fraud detection, this manual part can focus on the most suspicious transactions. This way, an unchanged number of supervisors can detect significantly more frauds than could be achieved with traditional methods of selecting which transactions to check, for example with random sampling. There are two principal data mining techniques available both in general data mining as well as in specific fraud detection techniques: supervised or directed and unsupervised or undirected. Supervised techniques or data mining models use previous knowledge. Typically, existing transactions are marked with a flag denoting whether a particular transaction is fraudulent or not. Customers at some point in time do report frauds, and the transactional system should be capable of accepting such a flag. Supervised data mining algorithms try to explain the value of this flag by using different input variables. When the patterns and rules that lead to frauds are learned through the model training process, they can be used for prediction of the fraud flag on new incoming transactions. Unsupervised techniques analyze data without prior knowledge, without the fraud flag; they try to find transactions which do not resemble other transactions, i.e. outliers. In both cases, there should be more frauds in the data set selected for checking by using the data mining knowledge compared to selecting the data set with simpler methods; this is known as the lift of a model. Typically, we compare the lift with random sampling. The supervised methods typically give a much better lift than the unsupervised ones. However, we must use the unsupervised ones when we do not have any previous knowledge. Furthermore, unsupervised methods are useful for controlling whether the supervised models are still efficient. Accuracy of the predictions drops over time. Patterns of credit card usage, for example, change over time. In addition, fraudsters continuously learn as well. Therefore, it is important to check the efficiency of the predictive models with the undirected ones. When the difference between the lift of the supervised models and the lift of the unsupervised models drops, it is time to refine the supervised models. However, the unsupervised models can become obsolete as well. It is also important to measure the overall efficiency of both, supervised and unsupervised models, over time. We can compare the number of predicted frauds with the total number of frauds that include predicted and reported occurrences. For measuring behavior across time, specific analytical databases called data warehouses (DW) and on-line analytical processing (OLAP) systems can be employed. By controlling the supervised models with unsupervised ones and by using an OLAP system or DW reports to control both, a continuous learning infrastructure can be established. There are many difficulties in developing a fraud detection system. As has already been mentioned, fraudsters continuously learn, and the patterns change. The exchange of experiences and ideas can be very limited due to privacy concerns. In addition, both data sets and results might be censored, as the companies generally do not want to publically expose actual fraudulent behaviors. Therefore it can be quite difficult if not impossible to cross-evaluate the models using data from different companies and different business areas. This fact stresses the importance of continuous learning even more. Finally, the number of frauds in the total number of transactions is small, typically much less than 1% of transactions is fraudulent. Some predictive data mining algorithms do not give good results when the target state is represented with a very low frequency. Data preparation techniques like oversampling and undersampling can help overcome the shortcomings of many algorithms. SQL Server suite includes all of the software required to create, deploy any maintain a fraud detection infrastructure. The Database Engine is the relational database management system (RDBMS), which supports all activity needed for data preparation and for data warehouses. SQL Server Analysis Services (SSAS) supports OLAP and data mining (in version 2012, you need to install SSAS in multidimensional and data mining mode; this was the only mode in previous versions of SSAS, while SSAS 2012 also supports the tabular mode, which does not include data mining). Additional products from the suite can be useful as well. SQL Server Integration Services (SSIS) is a tool for developing extract transform–load (ETL) applications. SSIS is typically used for loading a DW, and in addition, it can use SSAS data mining models for building intelligent data flows. SQL Server Reporting Services (SSRS) is useful for presenting the results in a variety of reports. Data Quality Services (DQS) mitigate the occasional data cleansing process by maintaining a knowledge base. Master Data Services is an application that helps companies maintaining a central, authoritative source of their master data, i.e. the most important data to any organization. For an overview of the SQL Server business intelligence (BI) part of the suite that includes Database Engine, SSAS and SSRS, please refer to Veerman E., Lachev T., & Sarka D. (2009). MCTS Self-Paced Training Kit (Exam 70-448): Microsoft® SQL Server® 2008 Business Intelligence Development and Maintenance. MS Press. For an overview of the enterprise information management (EIM) part that includes SSIS, DQS and MDS, please refer to Sarka D., Lah M., & Jerkic G. (2012). Training Kit (Exam 70-463): Implementing a Data Warehouse with Microsoft® SQL Server® 2012. O'Reilly. For details about SSAS data mining, please refer to MacLennan J., Tang Z., & Crivat B. (2009). Data Mining with Microsoft SQL Server 2008. Wiley. SQL Server Data Mining Add-ins for Office, a free download for Office versions 2007, 2010 and 2013, bring the power of data mining to Excel, enabling advanced analytics in Excel. Together with PowerPivot for Excel, which is also freely downloadable and can be used in Excel 2010, is already included in Excel 2013. It brings OLAP functionalities directly into Excel, making it possible for an advanced analyst to build a complete learning infrastructure using a familiar tool. This way, many more people, including employees in subsidiaries, can contribute to the learning process by examining local transactions and quickly identifying new patterns.

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  • Cisco 800 series won't forward port

    - by sam
    Hello ServerFault, I am trying to forward port 444 from my cisco router to my Web Server (192.168.0.2). As far as I can tell, my port forwarding is configured correctly, yet no traffic will pass through on port 444. Here is my config: ! version 12.3 service config no service pad service tcp-keepalives-in service tcp-keepalives-out service timestamps debug uptime service timestamps log uptime service password-encryption no service dhcp ! hostname QUESTMOUNT ! logging buffered 16386 informational logging rate-limit 100 except warnings no logging console no logging monitor enable secret 5 -removed- ! username administrator secret 5 -removed- username manager secret 5 -removed- clock timezone NZST 12 clock summer-time NZDT recurring 1 Sun Oct 2:00 3 Sun Mar 3:00 aaa new-model ! ! aaa authentication login default local aaa authentication login userlist local aaa authentication ppp default local aaa authorization network grouplist local aaa session-id common ip subnet-zero no ip source-route no ip domain lookup ip domain name quest.local ! ! no ip bootp server ip inspect name firewall tcp ip inspect name firewall udp ip inspect name firewall cuseeme ip inspect name firewall h323 ip inspect name firewall rcmd ip inspect name firewall realaudio ip inspect name firewall streamworks ip inspect name firewall vdolive ip inspect name firewall sqlnet ip inspect name firewall tftp ip inspect name firewall ftp ip inspect name firewall icmp ip inspect name firewall sip ip inspect name firewall fragment maximum 256 timeout 1 ip inspect name firewall netshow ip inspect name firewall rtsp ip inspect name firewall skinny ip inspect name firewall http ip audit notify log ip audit po max-events 100 ip audit name intrusion info list 3 action alarm ip audit name intrusion attack list 3 action alarm drop reset no ftp-server write-enable ! ! ! ! crypto isakmp policy 1 authentication pre-share ! crypto isakmp policy 2 encr 3des authentication pre-share group 2 ! crypto isakmp client configuration group staff key 0 qS;,sc:q<skro1^, domain quest.local pool vpnclients acl 106 ! ! crypto ipsec transform-set tr-null-sha esp-null esp-sha-hmac crypto ipsec transform-set tr-des-md5 esp-des esp-md5-hmac crypto ipsec transform-set tr-des-sha esp-des esp-sha-hmac crypto ipsec transform-set tr-3des-sha esp-3des esp-sha-hmac ! crypto dynamic-map vpnusers 1 description Client to Site VPN Users set transform-set tr-des-md5 ! ! crypto map cm-cryptomap client authentication list userlist crypto map cm-cryptomap isakmp authorization list grouplist crypto map cm-cryptomap client configuration address respond crypto map cm-cryptomap 65000 ipsec-isakmp dynamic vpnusers ! ! ! ! interface Ethernet0 ip address 192.168.0.254 255.255.255.0 ip access-group 102 in ip nat inside hold-queue 100 out ! interface ATM0 no ip address no atm ilmi-keepalive dsl operating-mode auto ! interface ATM0.1 point-to-point pvc 0/100 encapsulation aal5mux ppp dialer dialer pool-member 1 ! ! interface Dialer0 bandwidth 640 ip address negotiated ip access-group 101 in no ip redirects no ip unreachables ip nat outside ip inspect firewall out ip audit intrusion in encapsulation ppp no ip route-cache no ip mroute-cache dialer pool 1 dialer-group 1 no cdp enable ppp pap sent-username -removed- password 7 -removed- ppp ipcp dns request crypto map cm-cryptomap ! ip local pool vpnclients 192.168.99.1 192.168.99.254 ip nat inside source list 105 interface Dialer0 overload ip nat inside source static tcp 192.168.0.2 444 interface Dialer0 444 ip nat inside source static tcp 192.168.0.51 9000 interface Dialer0 9000 ip nat inside source static udp 192.168.0.2 1433 interface Dialer0 1433 ip nat inside source static tcp 192.168.0.2 1433 interface Dialer0 1433 ip nat inside source static tcp 192.168.0.2 25 interface Dialer0 25 ip classless ip route 0.0.0.0 0.0.0.0 Dialer0 ip http server no ip http secure-server ! ip access-list logging interval 10 logging 192.168.0.2 access-list 1 remark The local LAN. access-list 1 permit 192.168.0.0 0.0.0.255 access-list 2 permit 192.168.0.0 access-list 2 remark Where management can be done from. access-list 2 permit 192.168.0.0 0.0.0.255 access-list 3 remark Traffic not to check for intrustion detection. access-list 3 deny 192.168.99.0 0.0.0.255 access-list 3 permit any access-list 101 remark Traffic allowed to enter the router from the Internet access-list 101 permit ip 192.168.99.0 0.0.0.255 192.168.0.0 0.0.0.255 access-list 101 deny ip 0.0.0.0 0.255.255.255 any access-list 101 deny ip 10.0.0.0 0.255.255.255 any access-list 101 deny ip 127.0.0.0 0.255.255.255 any access-list 101 deny ip 169.254.0.0 0.0.255.255 any access-list 101 deny ip 172.16.0.0 0.15.255.255 any access-list 101 deny ip 192.0.2.0 0.0.0.255 any access-list 101 deny ip 192.168.0.0 0.0.255.255 any access-list 101 deny ip 198.18.0.0 0.1.255.255 any access-list 101 deny ip 224.0.0.0 0.15.255.255 any access-list 101 deny ip any host 255.255.255.255 access-list 101 permit tcp 67.228.209.128 0.0.0.15 any eq 1433 access-list 101 permit tcp host 120.136.2.22 any eq 1433 access-list 101 permit tcp host 123.100.90.58 any eq 1433 access-list 101 permit udp 67.228.209.128 0.0.0.15 any eq 1433 access-list 101 permit udp host 120.136.2.22 any eq 1433 access-list 101 permit udp host 123.100.90.58 any eq 1433 access-list 101 permit tcp any any eq 444 access-list 101 permit tcp any any eq 9000 access-list 101 permit tcp any any eq smtp access-list 101 permit udp any any eq non500-isakmp access-list 101 permit udp any any eq isakmp access-list 101 permit esp any any access-list 101 permit tcp any any eq 1723 access-list 101 permit gre any any access-list 101 permit tcp any any eq 22 access-list 101 permit tcp any any eq telnet access-list 102 remark Traffic allowed to enter the router from the Ethernet access-list 102 permit ip any host 192.168.0.254 access-list 102 deny ip any host 192.168.0.255 access-list 102 deny udp any any eq tftp log access-list 102 permit ip 192.168.0.0 0.0.0.255 192.168.99.0 0.0.0.255 access-list 102 deny ip any 0.0.0.0 0.255.255.255 log access-list 102 deny ip any 10.0.0.0 0.255.255.255 log access-list 102 deny ip any 127.0.0.0 0.255.255.255 log access-list 102 deny ip any 169.254.0.0 0.0.255.255 log access-list 102 deny ip any 172.16.0.0 0.15.255.255 log access-list 102 deny ip any 192.0.2.0 0.0.0.255 log access-list 102 deny ip any 192.168.0.0 0.0.255.255 log access-list 102 deny ip any 198.18.0.0 0.1.255.255 log access-list 102 deny udp any any eq 135 log access-list 102 deny tcp any any eq 135 log access-list 102 deny udp any any eq netbios-ns log access-list 102 deny udp any any eq netbios-dgm log access-list 102 deny tcp any any eq 445 log access-list 102 permit ip 192.168.0.0 0.0.0.255 any access-list 102 permit ip any host 255.255.255.255 access-list 102 deny ip any any log access-list 105 remark Traffic to NAT access-list 105 deny ip 192.168.0.0 0.0.0.255 192.168.99.0 0.0.0.255 access-list 105 permit ip 192.168.0.0 0.0.0.255 any access-list 106 remark User to Site VPN Clients access-list 106 permit ip 192.168.0.0 0.0.0.255 any dialer-list 1 protocol ip permit ! line con 0 no modem enable line aux 0 line vty 0 4 access-class 2 in transport input telnet ssh transport output none ! scheduler max-task-time 5000 ! end any ideas? :)

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  • What is the best Web Application Firewall for IIS?

    - by user30850
    What is the best Web Application Firewall(WAF) for IIS? What makes it better than the others? How useful is it at blocking attacks against poorly written code, otherwise known as an Intrusion Prevention System (IPS)? WAFs are required by the PCI-DSS, so if I have to get one, then it should the best one.

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