明天的智能惡意軟件會在看到你的面貌時作出攻擊

明天的智能惡意軟件會在看到你的面貌時作出攻擊
Tomorrow’s Intelligent Malware Will Attack When It Sees Your Face

August 15, 2018

IBM researchers have injected viruses with neural nets, making them stealthier and precisely targetable.

You may think today’s malware is bad, but artificial intelligence may soon make malicious software nearly impossible to detect as it waits for just the right person to sit in front of the computer. That’s according to work by a group of researchers with IBM, which they revealed at the BlackHat cybersecurity conference last week.

Here’s how the new smart spyware works and why it’s such a large potential threat. Traditional virus-catching software finds malicious code on your computer by matching it to a stored library of malware. More sophisticated anti-virus tools can deduce that unknown code is malware because it targets sensitive data. Advanced defensive software creates virtual environments, called sandboxes, in which to open suspicious file payloads to see how they act.

Now enter deep neural nets, or DNNs, which defy easy probing and exploration even by advanced human analysts, much less by software. In sort of the same way that the inner works of the mind are a mystery, it’s nearly impossible to understand how neural networks actually work to produce the outputs that they do.

A neural network has three layers. The first layer receives inputs from the outside world. Those could be keyboard commands, sensed images, or something else. The second layer is the indecipherable one. Called the hidden layer, it’s where the network trains itself to do something with the input it received from the first layer. The final layer is the output, the end result of the process. Because neural networks train themselves, it’s impossible to really see how they arrive at their conclusions.  

https://www.nextgov.com/cybersecurity/2018/08/tomorrows-intelligent-malware-will-attack-when-it-sees-your-face/150560/