Study of Common Sub-graphs of System Call Dependency Graphs for Malware Classification (FR)

Abstract

Distinguishing legitimate software from malicious software is a problem that requires a lot of expertise. In order to create a malware detection software, an approach consists in extracting System Call Dependency Graphs (SCDG) which summarize the behavior of a software.

Date
Jan 7, 2019
Location
Lycée Notre-Dame-des-Missions
Charenton-le-Pont
Dylan Marinho
Dylan Marinho
PhD Student

Dylan is a PhD-student at Université de Lorraine, at the IAEM Doctoral School in computer science. He belongs to the VeriDis team of the LORIA and Inria.

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