Jordan Samhi
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| Faculté ou Centre | Interdisciplinary Centre for Security, Reliability and Trust | ||||
| Department | TruX | ||||
| Adresse postale |
Campus Kirchberg, Université du Luxembourg 6, rue Richard Coudenhove-Kalergi L-1359 Luxembourg |
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| Bureau sur le campus | E 109 | ||||
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| Téléphone | (+352) 46 66 44 9465 | ||||
Jordan Samhi received his Master's degree in Computer and Information Systems Security from the University of Lorraine (France), in 2019. His research interests are in the security aspects of software engineering, with a particular focus on malware and vulnerability detection. Jordan joined the Security, Design and Validation Research Group, SERVAL, headed by Professor Yves Le Traon. He will be working on the analysis of Android applications by reverse engineering and developing static analysis programs, under the supervision of Pr. Jacques Klein.
Last updated on: mardi 19 novembre 2019
2023
Sensitive and Personal Data: What Exactly Are You Talking About?; ; ; ;
in 10th International Conference on Mobile Software Engineering and Systems 2023 (2023, May)
Les nouvelles tendances en matière de sécurité pour les serveurs LinuxArticle for general public (2023)
Negative Results of Fusing Code and Documentation for Learning to Accurately Identify Sensitive Source and Sink Methods An Application to the Android Framework for Data Leak Detection; ; ; ; ;
in 30th IEEE International Conference on Software Analysis, Evolution and Reengineering (2023, March)
2022
TriggerZoo: A Dataset of Android Applications Automatically Infected with Logic Bombs; ;
in 19th International Conference on Mining Software Repositories, Data Showcase, (MSR 2022) (2022, May 23)
JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis; ; ; ; ; ; ; ;
in 44th International Conference on Software Engineering (ICSE 2022) (2022, May 21)
Difuzer: Uncovering Suspicious Hidden Sensitive Operations in Android Apps; ; ;
in 44th International Conference on Software Engineering (ICSE 2022) (2022, May 21)
Demystifying Hidden Sensitive Operations in Android apps; ; ; ; ; ; ;
in ACM Transactions on Software Engineering and Methodology (2022)
2021
DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection Based on Image Representation of Bytecode; ; ; ; ;
in Communications in Computer and Information Science (2021)
A First Look at Android Applications in Google Play related to Covid-19; ; ;
in Empirical Software Engineering (2021)
On The (In)Effectiveness of Static Logic Bomb Detector for Android Apps;
in IEEE Transactions on Dependable and Secure Computing (2021)
RAICC: Revealing Atypical Inter-Component Communication in Android Apps; ; ;
in 43rd International Conference on Software Engineering (ICSE) (2021, May)
