EECS Colloquium: A Journey Through Android App Analysis: Solutions and Open Challenges by Jacques Klein, University of Luxembourg

About the event

Abstract

Users can today download a wide variety of apps ranging from simple toy games to sophisticated business-critical apps. They rely on these apps daily to perform diverse tasks, some of them related to sensitive information such as their finances or health. Ensuring high-quality, reliable, and secure apps is thus key. In the TruX research group of the interdisciplinary center for Security, Reliability, and Trust (SnT) of the University of Luxembourg, we are working for about 10 years to deliver practical techniques, tools, and other artifacts (such as repositories) making the analysis of Android apps possible. In this talk, I will briefly introduce our key contributions in both (1) Android app static analysis to detect security issues, and (2) Android Malware Detection with machine learning. I will conclude by listing several open challenges that we are currently facing towards improving the analysis and security of Android apps.

Bio

Prof. Dr. Jacques Klein is a researcher and professor in software engineering and software security who develops innovative approaches and tools towards helping the research and practice communities build trustworthy software. He is a member of the Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg. He received a Ph.D. degree in Computer Science from the University of Rennes, France, in 2006. His main areas of expertise are threefold: (1) Software Security (Malware detection, prevention and dissection, Static Analysis for Security, Vulnerability Detection, etc.); (2) Software Reliability (Software Testing, Semi-Automated and Fully-Automated Program Repair, etc.); (3) Data Analytics (Multi-objective reasoning and optimization, Model-driven data analytic, Time Series Pattern Recognition, etc.). In addition to academic achievements, Prof. Klein also has a long-standing experience and expertise in successfully running industrial projects with several industrial partners in various domains by applying data analytics, software engineering, information retrieval, etc., to their research problems.