8 citations · 19 across the 7 of their papers we have counts for
5 papers · 1 filter
Exploring Feature Importance and Explainability Towards Enhanced ML-Based DoS Detection in AI Systems
Paul Badu Yakubu, Evans Owusu, Lesther Santana +3
Denial of Service (DoS) attacks pose a significant threat in the realm of AI systems security, causing substantial financial losses and downtime. However, AI systems' high computat…
Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach
Fernando Martinez, Mariyam Mapkar, Ali Alfatemi +4
Distributed Denial of Service (DDoS) attacks pose an increasingly substantial cybersecurity threat to organizations across the globe. In this paper, we introduce a new deep learnin…
Advancing DDoS Attack Detection: A Synergistic Approach Using Deep Residual Neural Networks and Synthetic Oversampling
Ali Alfatemi, Mohamed Rahouti, Ruhul Amin +3
Distributed Denial of Service (DDoS) attacks pose a significant threat to the stability and reliability of online systems. Effective and early detection of such attacks is pivotal…
Blockchain-Based Security Architecture for Unmanned Aerial Vehicles in B5G/6G Services and Beyond: A Comprehensive Approach
Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kaiqi Xiong +3
Unmanned Aerial Vehicles (UAVs), previously favored by enthusiasts, have evolved into indispensable tools for effectively managing disasters and responding to emergencies. For exam…
Enhancing ML-Based DoS Attack Detection Through Combinatorial Fusion Analysis
Evans Owusu, Mohamed Rahouti, D. Frank Hsu +2
Mitigating Denial-of-Service (DoS) attacks is vital for online service security and availability. While machine learning (ML) models are used for DoS attack detection, new strategi…