Aleieldin Salem

13 papers A 1Journal 5Unranked 6

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