Advanced Persistent Threats (APTs) represent the most sophisticated class of cyberattacks, characterized by multi-stage, stealthy, and persistent intrusion campaigns orchestrated by well-funded, often state-sponsored adversaries. Existing detection methods suffer from three critical limitations: inability to model long...
A. M. Abushariah, Mohammed Tawfik, Belal Al-sellami et al.· Scientific Reports· 0 citations
DAMSE is validated on two linguistically distinct datasets and establishes the first zero-shot baselines for vishing detection, introducing dialect-adaptive ensemble weighting that provides a consistent gain over uniform fusion, and releasing the first comprehensive multi-dialect Arabic vishing dataset with structured...
Mohammed Tawfik, A. M. Al-madani, Eman Abdulrahman Alkhamali et al.· PeerJ Computer Science· 0 citations
FedMamba-IoMT is introduced, the first federated State Space Model framework for privacy-preserving intrusion detection in IoMT networks, incorporating differential privacy (DP-SGD), Byzantine-resilient aggregation, and multi-level explainability.
Y. Al-Sharo, Mohammed Tawfik, A. M. Al-madani et al.· PLoS ONE· 1 citation
HIFN-T is presented, a framework extending the Variational Information Bottleneck through four jointly learnable per-layer parameters: information retention, entropy budget, magnitude scaling, and global information gates that generalizes standard VIB as a special case and characterize the role of the entropy budget as...
Mohammed Tawfik· IEEE Access· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.