Foto von Aleieldin Salem

M.Sc. Aleieldin Salem

Technische Universität München

Informatik 4 - Lehrstuhl für Software & Systems Engineering (Prof. Pretschner)


Informatik 4 - Lehrstuhl für Software & Systems Engineering (Prof. Pretschner)

Boltzmannstr. 3(5611)/I
85748 Garching b. München


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About Me

I am a researcher and doctoral candidate at the Chair of Software and Systems Engineering led by Prof. Alexander Pretschner. I received a M.Sc. degree in Informatics with Distinction from TU Munich; my thesis is entitled "Metadata Recovery of Transformations from Obfuscated Software via Machine Learning Techniques". I also obtained a M.Sc. with Distinction in Information Security from University College London (UCL). My dissertation--conducted in collaboration with BT Innovate and Design--focused on semantic-based misuse detection of malware in web applications, and was awarded third best dissertation in information security by the department of computer science. In 2009, I was awarded my B.Sc. Magna Cum Laude in Computer Science from the American University in Cairo (AUC). I worked on my Bachelor thesis as a member of the "eXcreen: The external touchscreen" application team, that won Microsoft Imagine Cup's "Best Windows Mobile Application".

Research Interests

My primary research focus is on utilizing machine learning techniques and algorithms within the domains of malware analysis/detection, Android security, and penetration testing. I am also interested in security engineering and its related topics e.g. obfuscation, secure coding, security patterns, et cetera.

Teaching Assistance

WiSe 2018/19Android Security Lab (Practical Course)
SoSe 2018Security Engineering
WiSe 2017/18Android Security Lab (Practical Course)
SoSe 2017Security Engineering
SoSe 2017Intrusion Detection and Forensic Analysis (Seminar)
WiSe 2016/17Selected Topics in Android Security (Practical Course)
SoSe 2016Security Engineering
WiSe 2015/16Einführung in die Informatik II


  • Aleieldin Salem, Michael Hesse, Jona Neumeier, Alexander Pretschner: Towards Empirically Assessing Behavior Stimulation Approaches for Android Malware. SECURWARE 2019, The Thirteenth International Conference on Emerging Security Information, Systems and Technologies, 2019, 47-52 mehr… BibTeX Volltext (mediaTUM)
  • Salem, Aleieldin; Schmidt, Tabea; Pretschner, Alexander: Idea: Automatic Localization of Malicious Behaviors in Android Malware with Hidden Markov Models. In: Lecture Notes in Computer Science. Springer International Publishing, 2018 mehr… BibTeX Volltext ( DOI )
  • Aleieldin Salem: GoldRusher: A Miner for Rapid Identification of Hidden Code. Proceedings of the 25th IEEE International Conference on Software Analysis, Evolution and Reengineering, IEEE, 2018, 517--521 mehr… BibTeX Volltext (mediaTUM)
  • Salem, Aleieldin; Pretschner, Alexander: Poking the bear: lessons learned from probing three Android malware datasets. Proceedings of the 1st International Workshop on Advances in Mobile App Analysis - A-Mobile 2018, ACM Press, 2018 mehr… BibTeX Volltext ( DOI )
  • Salem, Aleieldin; Paulus, F. Franziska; Pretschner, Alexander: Repackman: a tool for automatic repackaging of Android apps. Proceedings of the 1st International Workshop on Advances in Mobile App Analysis - A-Mobile 2018, ACM Press, 2018 mehr… BibTeX Volltext ( DOI )
  • Aleieldin Salem; Sebastian Banescu: Metadata Recovery From Obfuscated Programs Using Machine Learning. Proceedings of the 6th Workshop on Software Security, Protection, and Reverse Engineering, ACM, 2016, 1:1--1:11 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
  • Banescu, Sebastian; Wuechner, Tobias; Salem, Aleieldin; Guggenmos, Marius; Ochoa, Martín; Pretschner, Alexander: A framework for empirical evaluation of malware detection resilience against behavior obfuscation. 2015 10th International Conference on Malicious and Unwanted Software (MALWARE), 2015, 40-47 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)

Work in Progress

Aleieldin Salem. "Stimulation and Detection of Android Repackaged Malware with Active Learning." arXiv preprint arXiv:1808.01186 (2018). [PDF]

Aleieldin Salem, Sebastian Banescu, and Alexander Pretschner. "Don't Pick the Cherry: An Evaluation Methodology for Android Malware Detection Methods." arXiv preprint arXiv:1903.10560 (2019). [PDF]