Louison Gitzinger’s PhD defense will be held online on December 8 at 10am

You are cordially invited to attend the PhD defense of Louison Gitzinger that will be held online on December 8 at 10am. The defense can be followed from the player below:

Jury Members:

Sonia BEN MOKHTAR Directrice de recherche – CNRS Lyon
Romain ROUVOY Professeur des universités – Université de Lille
Tegawendé F. BISSYANDE Chargé de recherche – Université de Luxembourg
Alain TCHANA Professeur des universités – ENS de Lyon
Sophie PINCHINAT Professeur des universités – Univ Rennes, CNRS, Inria, IRISA
Gilles MULLER Directeur de recherche – Univ Rennes, CNRS, Inria, IRISA
David-Yérom BROMBERG Professeur des universités – Univ Rennes, CNRS, Inria, IRISA

Title: Surviving the massive proliferation of mobile malware

Abstact: Nowadays, many of us are surrounded by smart devices that seamlessly operate interactively and  autonomously together with multiple services to make our lives more confortable. These smart devices are part of larger ecosystems, in which various companies collaborate to ease the distribution of applications between developers and users. However malicious attackers take advantage of them illegitimately to infect users’ smart devices with malicious applications. Despite all the efforts made to defend these ecosystems, the rate of devices infected with malware is still increasing in 2020. In this thesis, we explore three research axes with the aim of globally improving malware detection in the Android ecosystem. We demonstrate that the accuracy of machine learning-based detection systems can be improved by automating their evaluation and by reusing the concept of AutoML to fine-tune learning algorithms parameters. We propose an approach to automatically create malware variants from combinations of complex evasion techniques to diversify experimental malware datasets in order to challenge existing detection systems. Finally, we propose methods to globally increase the quality of experimental datasets used to train and test detection systems.

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