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• Windows 8.1 Will Start Encrypting Hard Drives By Default: Everything You Need to Know

  - by Chris Hoffman

  Windows 8.1 will automatically encrypt the storage on modern Windows PCs. This will help protect your files in case someone steals your laptop and tries to get at them, but it has important ramifications for data recovery. Previously, “BitLocker” was available on Professional and Enterprise editions of Windows, while “Device Encryption” was available on Windows RT and Windows Phone. Device encryption is included with all editions of Windows 8.1 — and it’s on by default. When Your Hard Drive Will Be Encrypted Windows 8.1 includes “Pervasive Device Encryption.” This works a bit differently from the standard BitLocker feature that has been included in Professional, Enterprise, and Ultimate editions of Windows for the past few versions. Before Windows 8.1 automatically enables Device Encryption, the following must be true: The Windows device “must support connected standby and meet the Windows Hardware Certification Kit (HCK) requirements for TPM and SecureBoot on ConnectedStandby systems.”  (Source) Older Windows PCs won’t support this feature, while new Windows 8.1 devices you pick up will have this feature enabled by default. When Windows 8.1 installs cleanly and the computer is prepared, device encryption is “initialized” on the system drive and other internal drives. Windows uses a clear key at this point, which is removed later when the recovery key is successfully backed up. The PC’s user must log in with a Microsoft account with administrator privileges or join the PC to a domain. If a Microsoft account is used, a recovery key will be backed up to Microsoft’s servers and encryption will be enabled. If a domain account is used, a recovery key will be backed up to Active Directory Domain Services and encryption will be enabled. If you have an older Windows computer that you’ve upgraded to Windows 8.1, it may not support Device Encryption. If you log in with a local user account, Device Encryption won’t be enabled. If you upgrade your Windows 8 device to Windows 8.1, you’ll need to enable device encryption, as it’s off by default when upgrading. Recovering An Encrypted Hard Drive Device encryption means that a thief can’t just pick up your laptop, insert a Linux live CD or Windows installer disc, and boot the alternate operating system to view your files without knowing your Windows password. It means that no one can just pull the hard drive from your device, connect the hard drive to another computer, and view the files. We’ve previously explained that your Windows password doesn’t actually secure your files. With Windows 8.1, average Windows users will finally be protected with encryption by default. However, there’s a problem — if you forget your password and are unable to log in, you’d also be unable to recover your files. This is likely why encryption is only enabled when a user logs in with a Microsoft account (or connects to a domain). Microsoft holds a recovery key, so you can gain access to your files by going through a recovery process. As long as you’re able to authenticate using your Microsoft account credentials — for example, by receiving an SMS message on the cell phone number connected to your Microsoft account — you’ll be able to recover your encrypted data. With Windows 8.1, it’s more important than ever to configure your Microsoft account’s security settings and recovery methods so you’ll be able to recover your files if you ever get locked out of your Microsoft account. Microsoft does hold the recovery key and would be capable of providing it to law enforcement if it was requested, which is certainly a legitimate concern in the age of PRISM. However, this encryption still provides protection from thieves picking up your hard drive and digging through your personal or business files. If you’re worried about a government or a determined thief who’s capable of gaining access to your Microsoft account, you’ll want to encrypt your hard drive with software that doesn’t upload a copy of your recovery key to the Internet, such as TrueCrypt. How to Disable Device Encryption There should be no real reason to disable device encryption. If nothing else, it’s a useful feature that will hopefully protect sensitive data in the real world where people — and even businesses — don’t enable encryption on their own. As encryption is only enabled on devices with the appropriate hardware and will be enabled by default, Microsoft has hopefully ensured that users won’t see noticeable slow-downs in performance. Encryption adds some overhead, but the overhead can hopefully be handled by dedicated hardware. If you’d like to enable a different encryption solution or just disable encryption entirely, you can control this yourself. To do so, open the PC settings app — swipe in from the right edge of the screen or press Windows Key + C, click the Settings icon, and select Change PC settings. Navigate to PC and devices -> PC info. At the bottom of the PC info pane, you’ll see a Device Encryption section. Select Turn Off if you want to disable device encryption, or select Turn On if you want to enable it — users upgrading from Windows 8 will have to enable it manually in this way. Note that Device Encryption can’t be disabled on Windows RT devices, such as Microsoft’s Surface RT and Surface 2. If you don’t see the Device Encryption section in this window, you’re likely using an older device that doesn’t meet the requirements and thus doesn’t support Device Encryption. For example, our Windows 8.1 virtual machine doesn’t offer Device Encryption configuration options. This is the new normal for Windows PCs, tablets, and devices in general. Where files on typical PCs were once ripe for easy access by thieves, Windows PCs are now encrypted by default and recovery keys are sent to Microsoft’s servers for safe keeping. This last part may be a bit creepy, but it’s easy to imagine average users forgetting their passwords — they’d be very upset if they lost all their files because they had to reset their passwords. It’s also an improvement over Windows PCs being completely unprotected by default.     

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• Can Google Employees See My Saved Google Chrome Passwords?

  - by Jason Fitzpatrick

  Storing your passwords in your web browser seems like a great time saver, but are the passwords secure and inaccessible to others (even employees of the browser company) when squirreled away? Today’s Question & Answer session comes to us courtesy of SuperUser—a subdivision of Stack Exchange, a community-driven grouping of Q&A web sites. The Question SuperUser reader MMA is curious if Google employees have (or could have) access to the passwords he stores in Google Chrome: I understand that we are really tempted to save our passwords in Google Chrome. The likely benefit is two fold, You don’t need to (memorize and) input those long and cryptic passwords. These are available wherever you are once you log in to your Google account. The last point sparked my doubt. Since the password is available anywhere, the storage must in some central location, and this should be at Google. Now, my simple question is, can a Google employee see my passwords? Searching over the Internet revealed several articles/messages. Do you save passwords in Chrome? Maybe you should reconsider: Talks about your passwords being stolen by someone who has access to your computer account. Nothing mentioned about the central storage security and vulnerability. There is even a response from Chrome browser security tech lead about the first issue. Chrome’s insane password security strategy: Mostly along the same line. You can steal password from somebody if you have access to the computer account. How to Steal Passwords Saved in Google Chrome in 5 Simple Steps: Teaches you how to actually perform the act mentioned in the previous two when you have access to somebody else’s account. There are many more (including this one at this site), mostly along the same line, points, counter-points, huge debates. I refrain from mentioning them here, simply carry a search if you want to find them. Coming back to my original query, can a Google employee see my password? Since I can view the password using a simple button, definitely they can be unhashed (decrypted) even if encrypted. This is very different from the passwords saved in Unix-like OS’s where the saved password can never be seen in plain text. They use a one-way encryption algorithm to encrypt your passwords. This encrypted password is then stored in the passwd or shadow file. When you attempt to login, the password you type in is encrypted again and compared with the entry in the file that stores your passwords. If they match, it must be the same password, and you are allowed access. Thus, a superuser can change my password, can block my account, but he can never see my password. So are his concerns well founded or will a little insight dispel his worry? The Answer SuperUser contributor Zeel helps put his mind at ease: Short answer: No* Passwords stored on your local machine can be decrypted by Chrome, as long as your OS user account is logged in. And then you can view those in plain text. At first this seems horrible, but how did you think auto-fill worked? When that password field gets filled in, Chrome must insert the real password into the HTML form element – or else the page wouldn’t work right, and you could not submit the form. And if the connection to the website is not over HTTPS, the plain text is then sent over the internet. In other words, if chrome can’t get the plain text passwords, then they are totally useless. A one way hash is no good, because we need to use them. Now the passwords are in fact encrypted, the only way to get them back to plain text is to have the decryption key. That key is your Google password, or a secondary key you can set up. When you sign into Chrome and sync the Google servers will transmit the encrypted passwords, settings, bookmarks, auto-fill, etc, to your local machine. Here Chrome will decrypt the information and be able to use it. On Google’s end all that info is stored in its encrpyted state, and they do not have the key to decrypt it. Your account password is checked against a hash to log in to Google, and even if you let chrome remember it, that encrypted version is hidden in the same bundle as the other passwords, impossible to access. So an employee could probably grab a dump of the encrypted data, but it wouldn’t do them any good, since they would have no way to use it.* So no, Google employees can not** access your passwords, since they are encrypted on their servers. * However, do not forget that any system that can be accessed by an authorized user can be accessed by an unauthorized user. Some systems are easier to break than other, but none are fail-proof. . . That being said, I think I will trust Google and the millions they spend on security systems, over any other password storage solution. And heck, I’m a wimpy nerd, it would be easier to beat the passwords out of me than break Google’s encryption. ** I am also assuming that there isn’t a person who just happens to work for Google gaining access to your local machine. In that case you are screwed, but employment at Google isn’t actually a factor any more. Moral: Hit Win + L before leaving machine. While we agree with zeel that it’s a pretty safe bet (as long as your computer is not compromised) that your passwords are in fact safe while stored in Chrome, we prefer to encrypt all our logins and passwords in a LastPass vault. Have something to add to the explanation? Sound off in the the comments. Want to read more answers from other tech-savvy Stack Exchange users? Check out the full discussion thread here.     

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• how to change strip.text labels in ggplot with facet and margin=TRUE

  - by Andreas

  I have looked here but still can't figure it out. How do I change the strip.text.x labels in a ggplot with faceting? Specifically I am using facet_grid with margins. The strip.text label for the margin is "(all)" - but since I am in a non-english speaking country I would rather write "Total" or something similar in my native tongue. opts(stip.text.x=c(levels(facetvariabel,"Total")) does not work. Any ideas? Example (not really the best dataset for this - but I guess it will work) ggplot(cars, aes(x=dist))+geom_bar()+facet_grid(.~speed, margin=T)

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• RSA encrypted Diffie-Hellman handshake

  - by cmaduro

  Would a RSA encrypted Diffie-Hellman handshake enable secure communication? I'm encrypting communication from a silverlight client to a php webservice. The silverlight client initiates they key agreement by sending the RSA public key encrypted DH parameters to the webservice. Only the webservice has the private key, so a MITM attack is not possible. The webservice sends plain text answer back to the client, and a key is agreed upon. This key is then used to encrypt communication between the webservice and silverlight client with AES, which is also encrypted with the RSA public key. Does anyone see a flaw?

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• Ruby on Rails Decryption

  - by user812120

  0 down vote favorite share [g+] share [fb] share [tw] The following function works perfect in PHP. How can it be translated in Ruby on Rails. Please note that both privateKey and iv are 32 characters long. mcrypt_decrypt(MCRYPT_RIJNDAEL_256, $privateKey, base64_decode($enc), MCRYPT_MODE_CBC, $iv) I tried to use the following in Ruby but got a bad decrypt error. cipher = OpenSSL::Cipher.new('aes-256-cbc') cipher.decrypt cipher.key = privateKey cipher.iv = iv decrypted = '' << cipher.update(encrypted) << cipher.final

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• How to create Encryption Key for Encryption Algorithms?

  - by Akash Kava

  I want to use encryption algorithm available in .Net Security namespace, however I am trying to understand how to generate the key, for example AES algorithm needs 256 bits, that 16 bytes key, and some initialization vector, which is also few bytes. Can I use any combination of values in my Key and IV? e.g. all zeros in Key and IV are valid or not? I know the detail of algorithm which does lots of xors, so zero wont serve any good, but are there any restrictions by these algorithms? Or Do I have to generate the key using some program and save it permanently somewhere?

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• CryptographicException: Padding is invalid and cannot be removed and Validation of viewstate MAC fai

  - by Chris Marisic

  Monitoring my global exception logs this error seems to be impossible to remove no matter what I do, I thought I finally got rid of it but it's back again. You can see a strack trace of the error on a similar post here. Notes about the environment: IIS 6.0, .NET 3.5 SP1 single server ASP.NET application Steps already taken: <system.web> <machineKey validationKey="big encryption key" decryptionKey="big decryption key" validation="SHA1" decryption="AES" /> In my Page Base for all of my pages protected override void OnInit(EventArgs e) { const string viewStateKey = "big key value"; Page.ViewStateUserKey = viewStateKey; } Also in the source of the page I can see that all of the ASP.NET generated hidden fields are correctly at the top of the page.

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• Iterative / Additive MD5

  - by Andrew Robinson

  I need to generate a checksum over a dictionary. Keys and Values. Is there any simple way to accomplish this in an iterative way. foreach(var item in dic.Keys) checksum += checksum(dic[item]) + checksum(item); In this case, keys and values could be converted to strings, concatinated and then a single checksum applied over these but is there a better way? Ideally MD5 but other options could work. Using this to validate data that is passed over a couple of storage methods. The checksum is then encrypted along with some other information (using AES) so I am not horribly worried about an ideal, unbreakable checksum.

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• How to override ggplot2's axis formatting?

  - by Richie Cotton

  When you choose a log scale, ggplot2 formats the breaks like 10^x. I'd like it to not do that. For example, the code below should display a graph with ticks at 1, 2, 5 etc, not 10^0, 10^0.3, 10^0.69 etc. library(ggplot2) dfr <- data.frame(x = 1:100, y = rlnorm(100)) breaks <- as.vector(c(1, 2, 5) %o% 10^(-1:1)) p1 <- ggplot(dfr, aes(x, y)) + geom_point() + scale_y_log10(breaks = breaks) print(p1) I guess that adding a formatter argument to scale_y_log10 would do the trick, but I'm not sure what to put in the argument, or where the options might be documented.

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• AesCryptoServiceProvider not part of SymmetricAlgorithm?

  - by user330006

  I have a quick little app that steps through the possible symmetric encryption methods. I get them with the following line: private static List<Type> GetAlgorithmTypes { get { return Assembly.GetAssembly(typeof(SymmetricAlgorithm)).GetTypes().Where( type => type.IsSubclassOf(typeof(SymmetricAlgorithm))).ToList(); } } As you can see when i run this, AesCryptoServiceProvider is not a member of this group, even though it inherits from AES, which does belong to SymmetricAlgorithm and shows up in my list. This wouldn't be so much of a problem, i can manually add the provider in the group if i have too, but then if i try to retrieve this type by its name: Type t = Type.GetType("System.Security.Cryptography.AesCryptoServiceProvider"); i get a null object for AesCryptoServiceProvider, but not for any of the other items in the group. This is really strange, and i'm wondering if anyone has any ideas. It's kinda making me need to use tripleDES because of this (since my machines are all running the FIPS compliance requirement). Thanks for any help!

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• R ggplot barplot; Fill based on two separate variables

  - by user1476968

  A picture says more than a thousand words. As you can see, my fill is based on the variable variable. Within each bar there is however multiple data entities (black borders) since the discrete variable complexity make them unique. What I am trying to find is something that makes each section of the bar more distinguishable than the current look. Preferable would be if it was something like shading. Here's an example (not the same dataset, since the original was imported): dat <- read.table(text = "Complexity Method Sens Spec MMC 1 L Alpha 50 20 10 2 M Alpha 40 30 80 3 H Alpha 10 10 5 4 L Beta 70 50 60 5 M Beta 49 10 80 6 H Beta 90 17 48 7 L Gamma 19 5 93 8 M Gamma 18 39 4 9 H Gamma 10 84 74", sep = "", header=T) library(ggplot2) library(reshape) short.m <- melt(dat) ggplot(short.m, aes(x=Method, y= value/100 , fill=variable)) + geom_bar(stat="identity",position="dodge", colour="black") + coord_flip()

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• Security & Authentication: SSL vs SASL

  - by 4herpsand7derpsago

  My understanding is that SSL combines an encryption algorithm (like AES, DES, etc.) with akey exchange method (like Diffier-Hellman) to provide secure encryption and identification services between two endpoints on an un-secure network (like the Internet). My understanding is that SASL is an MD5/Kerberos protocol that pretty much does the same thing. So my question: what are the pros/cons to choosing both and what scenarios make both more preferable? Basically, I'm looking for a guidelines to follow when choosing SSL or to go with SASL instead. Thanks in advance!

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• How do I plot more than one series using qplot?

  - by celenius

  I'm trying to understand how to have more than one series on a plot, using the following data. Year <- c('1950', '1960', '1970', '1980') Bus <- c(10,20,30,40) Bus.sd <- c(1.1, 2.2, 3.3, 4.4) Car <- c(20, 20, 40, 40) Car.sd <- c(1.1, 2.2, 3.3, 4.4) sample_data = data.frame(Year, Bus, Bus.sd, Car, Car.sd) qplot(Year, Bus, data=sample_data, geom="pointrange", ymin = Bus - Bus.sd/2, ymax = Bus + Bus.sd/2) For example, using the above data, how do I show both sample_data$Bus and sample_data$Car on the same plot in different colors? What I tried doing was: p <- qplot(...) then p <- p + qplot(...) where I replicated the previous line, but this gave me an error. I don't fully understand how AES works. I have studied the ggplot2 examples, but have difficulty understanding the relevant examples here.

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• Changing ylim (axis limits) drops data falling outside range. How can this be prevented?

  - by Alex Holcombe

  df <- data.frame(age=c(10,10,20,20,25,25,25),veg=c(0,1,0,1,1,0,1)) g=ggplot(data=df,aes(x=age,y=veg)) g=g+stat_summary(fun.y=mean,geom="point") Points reflect mean of veg at each age, which is what I expected and want to preserve after changing axis limits with the command below. g=g+ylim(0.2,1) Changing axis limits with the above command unfortunately causes veg==0 subset to be dropped from the data, yielding "Warning message: Removed 4 rows containing missing values (stat_summary)" This is bad because now the data plot (stat_summary mean) omits the veg==0 points. How can this be prevented? I simply want to avoid showing the empty part of the plot- the ordinate from 0 to .2, but not drop the associated data from the stat_summary calculation.

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• How do I draw an arrow on a histogram drawn using ggplot2?

  - by jon

  Here is dataset: set.seed(123) myd <- data.frame (class = rep(1:4, each = 100), yvar = rnorm(400, 50,30)) require(ggplot2) m <- ggplot(myd, aes(x = yvar)) p <- m + geom_histogram(colour = "grey40", fill = "grey40", binwidth = 10) + facet_wrap(~class) + theme_bw( ) p + opts(panel.margin=unit(0 ,"lines")) I want to add labels to bars which each subject class fall into and produce something like the post-powerpoint processed graph. Is there way to do this within R ? ...... Edit: we can think of different pointer such as dot or error bar, if arrow is not impossible Let's say the following is subjects to be labelled: class name yvar 2 subject4 104.0 3 subject3 8.5 3 subject1 80.0 4 subject2 40.0 4 subject1 115.0 classd <- data.frame (class = c(2,3,3,4,4), name = c ("subject4", "subject3", "subject1", "subject2", "subject1"), yvar = c(104.0, 8.5,80.0,40.0, 115.0))

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• Issue with plotting daily data using ggplot

  - by user1723765

  I tried to plot daily data from 9 variables in ggplot, but the graph I get cannot handle the date variable properly. The x axis is unreadable and its impossible to read the plot. I'm guessing there's an issue with the handling of dates. Here's the data: https://dl.dropbox.com/u/22681355/su.csv Here's the code I've been using: su=read.csv(file="su.csv", head=TRUE) meltdf=melt(su) ggplot(meltdf, aes(x=Date, y=value, colour=variable, group=variable))+geom_line() and here's the output: https://dl.dropbox.com/u/22681355/output.jpg here's the same plot done in excel, why does it look completely different?

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• How can I use splne() with ggplot?

  - by David

  I would like to fit my data using spline(y~x) but all of the examples that I can find use a spline with smoothing, e.g. lm(y~ns(x), df=_). I want to use spline() specifically because I am using this to do the analysis represented by the plot that I am making. Is there a simple way to use spline() in ggplot? I have considered the hackish approach of fitting a line using geom_smooth(aes(x=(spline(y~x)$x, y=spline(y~x)$y)) but I would prefer not to have to resort to this. Thanks!

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• crypto++ / pycrypto with google app engine

  - by Joey

  Hi, I am using crypto++ to send AES encrypted http requests to app engine, planning to decrypt them there. My plan is to encrypt the portion after the '?' so it's something like: http://myurl.com/Command?eiwjfsdlfjldkjfs when it is encrypted. However, I'm stuck figuring out how to decrypt it at the other end and still user get() on the response to get the args. Can someone advise if I am taking the wrong approach? Should I be decrypting and not using get() but my own parser then?

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• plot only x and y axis (no box) in ggplot2

  - by Tyler Rinker

  The convention of some journals is to show only the x and y axis in a plot not a box around the entire plot area. How can I achieve this in ggplot2? I tried theme_minimal_cb_L from HERE but it seems to erase the entire box around the plot (does not leave the x and y axis) as seen here: Here's the code I'm using: dat <- structure(list(x = c(0.7, 0.75, 0.8, 0.85, 0.9, 0.95, 1, 1.05, 1.1, 1.15, 1.2, 1.25, 1.3), y1 = c(34, 30, 26, 23, 21, 19, 17, 16, 15, 13, 12, 12, 11), y2 = c(45, 39, 34, 31, 28, 25, 23, 21, 19, 17, 16, 15, 14)), .Names = c("x", "y1", "y2"), row.names = c(NA, -13L), class = "data.frame") library(reshape2); library(ggplot2) dat2 <- melt(dat, id='x') theme_minimal_cb_L <- function (base_size = 12, base_family = "", ...){ modifyList (theme_minimal (base_size = base_size, base_family = base_family), list (axis.line = element_line (colour = "black"))) } ggplot(data=dat2, aes(x=x, y=value, color=variable)) + geom_point(size=3) + geom_line(size=.5) + theme_minimal_cb_L()

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• Margin adjustments when using ggplot's geom_tile()

  - by chris_dubois

  From the documentation for ggplot2's geom_tile() function, we have the following simple plot: > # Generate data > pp <- function (n,r=4) { + x <- seq(-r*pi, r*pi, len=n) + df <- expand.grid(x=x, y=x) + df$r <- sqrt(df$x^2 + df$y^2) + df$z <- cos(df$r^2)*exp(-df$r/6) + df + } > p <- ggplot(pp(20), aes(x=x,y=y)) > > p + geom_tile() How do I remove the margins that border the tile?

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• How to securely stream video from amazon S3

  - by JP.

  I have couple of copyright videos available on my S3 buckets. I want to stream them on my website, but at the same time. I don't want the users to rip the video from the video player. I tried to google about it but still i am not confident on this, coz i do not know the intricacies of options available like Server Side encryption None/ AES-256 2) A very interesting option is under Metadata tab - It shows couple of keys & Values. How can i use them to secure my video content? 3) Add more meta data and related options?

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• two line label with expression

  - by metasequoia

  I'd like to write an axis label over two lines with an expression() statement. However, plotmath and expression won't allow this (e.g. subscript appear on the far right). I found this discussion circa 2005 of a similar issue but the work around that they offer doesn't translate to my application in ggplot2. A recent question addressed a a different permutation of multi-line expression statements, but again the work around provided doesn't apply here. Example: p <- ggplot(mtcars,aes(x=wt,y=mpg))+ geom_point()+ xlab(expression(paste("A long string of text goes here just for the purpose \n of illustrating my point Weight "[reported]))) try(ggsave(plot=p,filename=<some file>,height=4,width=6)) yields an image where subscript "reported" is kicked out to the right when I'd like it to sit next to the previous word.

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• Can one extract model fit parameters after a ggplot stat_smooth call?

  - by Alex Holcombe

  Using stat_smooth, I can fit models to data. E.g. g=ggplot(tips,aes(x=tip,y=as.numeric(unclass(factor(tips$sex))-1))) +facet_grid(time~.) g=g+ stat_summary(fun.y=mean,geom="point") g=g+ stat_smooth(method="glm", family="binomial") I would like to know the coefficients of the glm binomial fits. I could re-do the fit with dlply and get the coefficients with ldply, but I'd like to avoid such duplication. Calling str(g) reveals the hierarchy of objects that ggplot creates, perhaps there's some way to get to the coefficients through that?

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• super-space-optimized code

  - by Will

  There are key self-contained algorithms - particularly cryptography-related such as AES, RSA, SHA1 etc - which you can find many implementations of for free on the internet. Some are written to be nice and portable clean C. Some are written to be fast - often with macros, and explicit unrolling. As far as I can tell, none are trying to be especially super-small - so I'm resigned to writing my own - explicitly AES128 decryption and SHA1 for ARM THUMB2. What patterns and tricks can I use to do so? Are there compilers/tools that can roll-up code?

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• Read a file to multiple array byte[]

  - by hankol

  I have an encryption algorithm (AES) that accepts file converted to array byte and encrypt it. Since I am going to process a very big size files, the JVM may go out of memory. I am planing to read the files in multiple array byte. each containing some part of the file. Then I teratively feed the algorithm. Finally merge them to produce encrypted file. So my question is: there any way to read a file part by part to multiple array byte? I thought I can use the following to read the file to array byte: IOUtils.toByteArray(InputStream input). And then split the array into multiple bytes using: Arrays.copyOfRange(). But I am afraid that the first code that reads file to byte will make the JVM to go out of memory. any suggestion please ? thanks

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