1 citations · 1 across the 5 of their papers we have counts for
6 papers
Concept Drift Adaptation Using Self-Supervised and Reinforcement Learning In Android Malware Detection
Ahmed Sabbah, Mohammad Kharma, Mohammad Alkhanafseh +3
Android malware detectors often degrade after deployment because of concept drift, while full retraining at each maintenance step is costly. We propose a chronological adaptive mai…
Adversarial Vulnerability Under Temporal Concept Drift: A Longitudinal Study of Android Malware Detection
Ahmed Sabbah, Mohammed Kharma, Radi Jarrar +2
We present a longitudinal, drift-aware evaluation of adversarial robustness across more than a decade of Android applications using static and dynamic feature representations extra…
A Quasi-Experimental Developer Study of Security Training in LLM-Assisted Web Application Development
Mohammed Kharma, Ahmed Sabbah, Radi Jarrar +3
This paper presents a controlled quasi-experimental developer study examining whether a layer-based security training package is associated with improved security quality in LLM-as…
Security and Quality in LLM-Generated Code: A Multi-Language, Multi-Model Analysis
Mohammed Kharma, Soohyeon Choi, Mohammed AlKhanafseh +1
Artificial Intelligence (AI)-driven code generation tools are increasingly used throughout the software development lifecycle to accelerate coding tasks. However, the security of A…
Towards a Cloud-Based Ontology for Service Model Security -- Technical Report
Mohammed Kharma, Ahmed Sabbah, Mustafa Jarrar
The adoption of cloud computing has brought significant advancements in the operational models of businesses. However, this shift also brings new security challenges by expanding t…
Creating Android Malware Knowledge Graph Based on a Malware Ontology
Ahmed Sabbah, Mohammed Kharma, Mustafa Jarrar
As mobile and smart connectivity continue to grow, malware presents a permanently evolving threat to different types of critical domains such as health, logistics, banking, and com…