Kevin Allix
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| Faculté ou Centre | Interdisciplinary Centre for Security, Reliability and Trust | ||||
| Unité de recherche | SnT | ||||
| Adresse postale |
Campus Kirchberg, Université du Luxembourg 6, rue Richard Coudenhove-Kalergi L-1359 Luxembourg |
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| Bureau sur le campus | E 104 | ||||
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| Téléphone | (+352) 46 66 44 5720 | ||||
| Fax | (+352) 46 66 44 35720 | ||||
2016
AndroZoo: Collecting Millions of Android Apps for the Research Community; ; ;
in Proceedings of the 13th International Workshop on Mining Software Repositories (2016, May)
On the Lack of Consensus in Anti-Virus Decisions: Metrics and Insights on Building Ground Truths of Android Malware; ; ; ;
in Detection of Intrusions and Malware, and Vulnerability Assessment - 13th International Conference (2016)
2015
Challenges and Outlook in Machine Learning-based Malware Detection for AndroidDoctoral thesis (2015)
Are Your Training Datasets Yet Relevant? - An Investigation into the Importance of Timeline in Machine Learning-Based Malware Detection; ; ;
in Engineering Secure Software and Systems - 7th International Symposium ESSoS 2015, Milan, Italy, March 4-6, 2015. Proceedings (2015)
Potential Component Leaks in Android Apps: An Investigation into a new Feature Set for Malware Detection; ; ; ; ;
in The 2015 IEEE International Conference on Software Quality, Reliability and Security (QRS 2015) (2015, August)
2014
Empirical assessment of machine learning-based malware detectors for Android: Measuring the Gap between In-the-Lab and In-the-Wild Validation Scenarios; ; ; ; ;
in Empirical Software Engineering (2014)
Large-scale Machine Learning-based Malware Detection: Confronting the "10-fold Cross Validation" Scheme with Reality; ; ; ; ;
in Proceedings of the 4th ACM Conference on Data and Application Security and Privacy (2014, March)
A Forensic Analysis of Android Malware -- How is Malware Written and How It Could Be Detected?; ; ; ; ;
in Proceedings of the 2014 IEEE 38th Annual Computer Software and Applications Conference (2014, July)
Using opcode-sequences to detect malicious Android applications; ; ;
in IEEE International Conference on Communications, ICC 2014, Sydney Australia, June 10-14, 2014 (2014, June)
2012
Improving Privacy on Android Smartphones Through In-Vivo Bytecode Instrumentation; ; ; ;
Report (2012)
In-Vivo Bytecode Instrumentation for Improving Privacy on Android Smartphones in Uncertain Environments; ; ; ;
E-print/Working paper (2012)
