A hybrid multi-layered intrusion detection framework combining traditional machine learning, Deep Neural Architectures (DenseNN), and ensemble methods to evaluate zero-day resilience within cloud-level backend connectivity interfacing EV and V2X management ecosystems is proposed.
H. Sakr, Ahmed A. El-Douh, M. Lapina et al.· Computers· 0 citations
The findings support preliminary source-group-preserving methodological evidence rather than patient-level, whole-slide, or clinical validity, and support preliminary source-group-preserving methodological evidence rather than patient-level, whole-slide, or clinical validity.
Md Saiful Arefin, Mohammad Saiful Islam, Md Serajun Nabi et al.· Diagnostics· 0 citations
A secure edge intelligence framework for V2X/IoV intrusion and misbehavior detection, called TrustEdge-V2X, which is deployment-aware and offers a systematic approach to the assessment and selection of vehicular cybersecurity models based on the operational and deployment conditions.
H. Sakr, Mina Shenouda, N. Sarwar et al.· Computers· 0 citations
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