H. Alhussian

Multi-task adversarial autoencoder for functional genomic element generation with preserved biophysical properties

The Multi-Task Adversarial Autoencoder (MT-AAE) is introduced, a hybrid generative framework that integrates adversarial regularization with auxiliary functional and biophysical objectives to enforce structured latent representations and position MT-AAE as an effective framework for biologically constrained genomic seq...

Deep Reinforcement Learning-Based Intrusion Detection in IoT Networks: A Systematic Mapping and Literature Review

The review reveals that the most used algorithm for DRL-based IDS is Deep Q-Network (DQN), appearing in 8 studies (30.8%), and the most frequently targeted attacks are DoS, DDoS, Backdoors, Mirai, Reconnaissance, Scan, and Torii.

An explainable generative AI framework for detecting low-rate API-based DDoS attacks in cloud environments