Home » today » Technology » Malicious code becomes a 2D image Malicious code becomes a 2D image May 12, 2020 by world today news – May 12, 2020, 1:28 am Note: We used commission links in this article and marked them with “*”. If an order is placed via these links, t3n.de receives a commission. Microsoft and Intel are currently working to better analyze malware. The project uses a new technology that converts malware into images. Tech giants Microsoft and Intel are working together to fight malware. As part of the project called Stamina (Static Malware-as-Image Network Analysis), malicious code is converted into black and white images. An artificial intelligence (AI) is to use deep learning to search the images for specific structural patterns that are specific to the respective malware example, such as ZD-Net reports. Don’t miss anything: The t3n newsletter on your favorite topics! Register now– Malicious code becomes a 2D image The results of the corresponding research have the Intel and Microsoft researchers in a white paper published to Stamina. The conversion of the malicious code into an image takes place in several steps. First, the binary data is converted into raw pixel data. A two-dimensional image is then generated from the one-dimensional pixel stream. This can then be examined using conventional image analysis algorithms. Stamina – new technology from Microsoft and Intel converts malware into images. (Photo: Intel) – The width of the image depends on the size of the original file. The height in turn is determined depending on the width and the raw data. The researchers reduced the size of the image because otherwise the images, which could quickly reach several billion pixels in size, could not be processed quickly enough. The researchers were convinced that the reduction should not have a negative impact on the result. Stamina for malware classification Microsoft and Intel trained the deep learning system with 2.2 million infected files in advance of corresponding tests. Stamina was then able to detect malware files with an accuracy of 99.07 percent. The researchers believe that the system can now be used for malware classification. More on the subject: – – – Related posts:Conflicting chats: WhatsApp's spicy response to a Telegram tweetTom Cruise into space and a film studio for several films?Xbox Series S. We know where the mysterious code name "Lockhart" came fromthe price of the Sony console and its accessories may have been revealed on TwitterShare this:FacebookX Related Covid-19. Hypertension: additional precautions “Did you forget how I knocked you out?” Nurmagomedov responded to insults from McGregor Leave a Comment Cancel replyCommentName Email Website Save my name, email, and website in this browser for the next time I comment. Δ This site uses Akismet to reduce spam. Learn how your comment data is processed. Search for: