48 citations · 62 across the 5 of their papers we have counts for
6 papers · 1 filter
Resilient and Adaptive Framework for Large Scale Android Malware Fingerprinting using Deep Learning and NLP Techniques
ElMouatez Billah Karbab, Mourad Debbabi
Android malware detection is a significat problem that affects billions of users using millions of Android applications (apps) in existing markets. This paper proposes PetaDroid, a…
Android Malware Clustering using Community Detection on Android Packages Similarity Network
ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab +1
The daily amount of Android malicious applications (apps) targeting the app repositories is increasing, and their number is overwhelming the process of fingerprinting. To address t…
Portable, Data-Driven Malware Detection using Language Processing and Machine Learning Techniques on Behavioral Analysis Reports
ElMouatez Billah Karbab, Mourad Debbabi
In response to the volume and sophistication of malicious software or malware, security investigators rely on dynamic analysis for malware detection to thwart obfuscation and packi…
Automatic Investigation Framework for Android Malware Cyber-Infrastructures
ElMouatez Billah Karbab, Mouarad Debbabi
The popularity of Android system, not only in the handset devices but also in IoT devices, makes it a very attractive destination for malware. Indeed, malware is expanding at a sim…
Android Malware Detection using Deep Learning on API Method Sequences
ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab +1
Android OS experiences a blazing popularity since the last few years. This predominant platform has established itself not only in the mobile world but also in the Internet of Thin…
DySign: Dynamic Fingerprinting for the Automatic Detection of Android Malware
ElMouatez Billah Karbab, Mourad Debbabi, Saed Alrabaee +1
The astonishing spread of Android OS, not only in smartphones and tablets but also in IoT devices, makes this operating system a very tempting target for malware threats. Indeed, t…