most citedXAI-based Feature Ensemble for Enhanced Anomaly Detection in Autonomous Driving Systems

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2025

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security

Osvaldo Arreche, Mustafa Abdallah

New research focuses on creating artificial intelligence (AI) solutions for network intrusion detection systems (NIDS), drawing its inspiration from the ever-growing number of intr…

cs.CR2024

A Comprehensive Comparative Study of Individual ML Models and Ensemble Strategies for Network Intrusion Detection Systems

Ismail Bibers, Osvaldo Arreche, Mustafa Abdallah

The escalating frequency of intrusions in networked systems has spurred the exploration of new research avenues in devising artificial intelligence (AI) techniques for intrusion de…

cs.AI2024★ 1 cited

XAI-based Feature Ensemble for Enhanced Anomaly Detection in Autonomous Driving Systems

Sazid Nazat, Mustafa Abdallah

The rapid advancement of autonomous vehicle (AV) technology has introduced significant challenges in ensuring transportation security and reliability. Traditional AI models for ano…

cs.CR2024

XAI-based Feature Selection for Improved Network Intrusion Detection Systems

Osvaldo Arreche, Tanish Guntur, Mustafa Abdallah

Explainability and evaluation of AI models are crucial parts of the security of modern intrusion detection systems (IDS) in the network security field, yet they are lacking. Accord…

cs.GT2024

A Quantal Response Analysis of Defender-Attacker Sequential Security Games

Md Reya Shad Azim, Mustafa Abdallah

We explore a scenario involving two sites and a sequential game between a defender and an attacker, where the defender is responsible for securing the sites while the attacker aims…