3 papers
cs.LG2025
A Lightweight Federated Learning Approach for Privacy-Preserving Botnet Detection in IoT
Taha M. Mahmoud, Naima Kaabouch
The rapid growth of the Internet of Things (IoT) has expanded opportunities for innovation but also increased exposure to botnet-driven cyberattacks. Conventional detection methods…
quant-ph2025
A Quantum-Secure Voting Framework Using QKD, Dual-Key Symmetric Encryption, and Verifiable Receipts
Taha M. Mahmoud, Naima Kaabouch
Electronic voting systems face growing risks from cyberattacks and data breaches, which are expected to intensify with the advent of quantum computing. To address these challenges,…
cs.CR2025
Leveraging Machine Learning for Botnet Attack Detection in Edge-Computing Assisted IoT Networks
Dulana Rupanetti, Naima Kaabouch
The increase of IoT devices, driven by advancements in hardware technologies, has led to widespread deployment in large-scale networks that process massive amounts of data daily. H…