Antivirus That Mimics the Brain Could Catch More Malware
Computer malware can often evade antivirus security software if the author changes a few lines of code or designs the program to automatically mutate before each new infection.Artificial neural networks, trained to recognize the characteristics of malicious code by looking at millions of examples of malware and non-malware files, could perhaps offer a far better way to catch such nefarious code. An approach known as deep learning, which involves training a network with many layers of simulated neurons using huge quantities of data, is being tested by several companies. An Israeli startup called Deep Instinct plans to launch an antivirus service based on the approach in the coming months. The company claims that its software is significantly better at catching modified versions of existing malware than current antivirus software. Those…
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