Hackathon on malware detection, October 2022

We are promoting a methodology to generate realistic malware corner cases that are designed to challenge antivirus scanners. In particular we have demonstrated that we  are able to massively generate malware variants to successfully evade state of the art scanners from both academia and industry. We organized (David Bromberg, Alain Tchana and Djob Mvondo) this hackathon to explore ways to challenge virus scanners to improve their detection algorithms. 31 students took part in the event from 3 universities (Yaoundé, Douala, and Dschang). This is the team from Douala composed of 5 research master students who won the hackathon and with whom we are currently writing a research paper on their result work.

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