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Jacques Klein

Researcher at University of Luxembourg

Publications -  230
Citations -  10443

Jacques Klein is an academic researcher from University of Luxembourg. The author has contributed to research in topics: Android (operating system) & Computer science. The author has an hindex of 44, co-authored 196 publications receiving 8445 citations. Previous affiliations of Jacques Klein include French Institute for Research in Computer Science and Automation.

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Proceedings ArticleDOI

FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps

TL;DR: FlowDroid is presented, a novel and highly precise static taint analysis for Android applications that successfully finds leaks in a subset of 500 apps from Google Play and about 1,000 malware apps from the VirusShare project.
Proceedings ArticleDOI

AndroZoo: collecting millions of Android apps for the research community

TL;DR: This work presents a growing collection of Android Applications collected from several sources, including the official GooglePlay app market, which contains more than three million apps that have been analysed by tens of different AntiVirus products to know which applications are detected as Malware.
Proceedings ArticleDOI

IccTA: detecting inter-component privacy leaks in Android apps

TL;DR: IccTA, a static taint analyzer to detect privacy leaks among components in Android applications goes beyond state-of-the-art approaches by supporting inter- component detection and propagating context information among components, which improves the precision of the analysis.
Proceedings Article

Effective inter-component communication mapping in Android with Epicc: an essential step towards holistic security analysis

TL;DR: This paper reduces the discovery of inter-component communication in smartphones to an instance of the Interprocedural Distributive Environment (IDE) problem, and develops a sound static analysis technique targeted to the Android platform that finds ICC vulnerabilities with far fewer false positives than the next best tool.
Journal ArticleDOI

Static analysis of android apps

TL;DR: The research community is still facing a number of challenges for building approaches that are aware altogether of implicit-Flows, dynamic code loading features, reflective calls, native code and multi-threading, in order to implement sound and highly precise static analyzers.