most citedEnabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness

28 citations · 45 across the 7 of their papers we have counts for

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cs.CR2024★ 8 cited

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…

cs.CR2024★ 7 cited

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…