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Machine learning augmented reverse engineering Masters thesis

Machine learning augmented reverse engineering Masters thesis Malicious software is a burning problem in todays ICT industry. There is an ongoing cat-and-mouse game between malware authors, who are writing more sophisticated code every day and returning to life old malware with new protection methods, and security researchers who are struggling to analyze malicious code and find a way how to stop it. Sophisticated malware has multiple defense layers which serve to fool anti-virus (anti-malware) software, malware analysis platforms, as well as to make it harder for security researchers to analyze malware internal workings. Security researcher has to go through mostly manual process of reverse engineering malware, document malware internal workings, write malware signature (or some other form of malware detection technique) and to see if the damage malware has caused is reversible and how to remove it from the system. By the time that is done malware has already caused often irreversible...