DeepSec 2017 Talk: Malware Analysis: A Machine Learning Approach – Chiheb Chebbi
Software has a character. It can be beneficial. It can also be malicious. A networked business world and the Internet of connected individuals make life for malicious software, also known as malware, easier. Just like international travel facilitates the spread of diseases and parasites, the networked globe is a big advantage for malware. Researcher can hardly keep up with the numbers of detected viruses, worms, and trojan horses. So why not let machines look for malware on their own? Certainly automation already benefits the hunt for malicious code. Chiheb Chebbi has some ideas that can help. Threats are a growing problem for people and organizations across the globe. With millions of malicious programs in the wild it has become hard to detect zero-day attacks and polymorphic viruses.This is why the need for machine learning-based