Aleieldin Salem

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 11

Top Topics

Empirical Evaluation

Active Learning

Malware Detection

Top Venues

Publications

Aleieldin Salem, Sebastian Banescu, Alexander Pretschner
Maat: Automatically Analyzing VirusTotal for Accurate Labeling and Effective Malware Detection. ACM Trans. Priv. Secur. 24 (4) (2021)
Aleieldin Salem
Towards Accurate Labeling of Android Apps for Reliable Malware Detection. CODASPY (2021)
Aleieldin Salem, Sebastian Banescu, Alexander Pretschner
Maat: Automatically Analyzing VirusTotal for Accurate Labeling and Effective Malware Detection. CoRR (2020)
Aleieldin Salem
Towards Accurate Labeling of Android Apps for Reliable Malware Detection. CoRR (2020)
Aleieldin Salem, Sebastian Banescu, Alexander Pretschner
Don't Pick the Cherry: An Evaluation Methodology for Android Malware Detection Methods. CoRR (2019)
Aleieldin Salem
Stimulation and Detection of Android Repackaged Malware with Active Learning. CoRR (2018)
Aleieldin Salem
GoldRusher: A miner for rapid identification of hidden code. SANER (2018)
Aleieldin Salem, F. Franziska Paulus, Alexander Pretschner
Repackman: a tool for automatic repackaging of Android apps. A-Mobile@ASE (2018)
Aleieldin Salem, Alexander Pretschner
Poking the bear: lessons learned from probing three Android malware datasets. A-Mobile@ASE (2018)
Aleieldin Salem, Tabea Schmidt, Alexander Pretschner
Idea: Automatic Localization of Malicious Behaviors in Android Malware with Hidden Markov Models. ESSoS (2018)
Aleieldin Salem, Sebastian Banescu
Metadata recovery from obfuscated programs using machine learning. SSPREW@ACSAC (2016)
Sebastian Banescu, Tobias Wüchner, Aleieldin Salem, Marius Guggenmos, Martín Ochoa, Alexander Pretschner
A framework for empirical evaluation of malware detection resilience against behavior obfuscation. MALWARE (2015)