activity
20092025
most citedAndroid Malware Detection using Deep Learning on API Method Sequences

48 citations · 64 across the 8 of their papers we have counts for

collaborators
Showing cs.CRShow all

9 papers · 1 filter

cs.CR2025

Applying Graph Analysis for Unsupervised Fast Malware Fingerprinting

ElMouatez Billah Karbab, Mourad Debbabi

Malware proliferation is increasing at a tremendous rate, with hundreds of thousands of new samples identified daily. Manual investigation of such a vast amount of malware is an un…

cs.CR20217 cited

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…

cs.CR2020

RDP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions

Meisam Mohammady, Shangyu Xie, Yuan Hong +4

Differential privacy (DP) has emerged as a de facto standard privacy notion for a wide range of applications. Since the meaning of data utility in different applications may vastly…

cs.CR20204 cited

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…

cs.CR20193 cited

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…

cs.CR2018

Preserving Both Privacy and Utility in Network Trace Anonymization

Meisam Mohammady, Lingyu Wang, Yuan Hong +3

As network security monitoring grows more sophisticated, there is an increasing need for outsourcing such tasks to third-party analysts. However, organizations are usually reluctan…