Ambient Internet-of-Things (IoT) deployments place large fleets of battery-less, energy-harvesting devices in environments where human operators cannot review every security event. Autonomous Artificial-Intelligence (AI) defenders can reduce this burden, but incorrect autonomous containment can amplify incidents, where...
Yousef K. Sanjalawe, Salam R. Al-E'mari, Muder Almiani· Computers· 0 citations
: Cyber-Physical Systems (CPS), including Industrial Internet of Things (IIoT) environments and smart infrastructures, are increasingly vulnerable to sophisticated cyberattacks due to their heterogeneous architectures, large-scale deployments, and strict real-time operational constraints. Conventional security mechanis...
Salam R. Al-E'mari, Yousef K. Sanjalawe, B. Allehyani et al.· Computers, Materials & C...· 0 citations
GRAB-FL is proposed, a graph-aware, Byzantine-resilient FL framework for a bounded gray-box setting in which adversaries may observe global model trajectories and adapt their updates over time but cannot inspect server-side trust states.
Salam Fraihat, Yousef K. Sanjalawe, Qussai M. Yaseen et al.· Neural computing & applicati...· 0 citations
MEPO-SLM is presented, a framework that reformulates prompt engineering for SLMs as a four-objective Pareto problem over task inaccuracy, and Phi-3-mini and Gemma-2B on English TriviaQA and Arabic medical QA, and TinyLlama-1.1B on TriviaQA only are evaluated.
Yousef K. Sanjalawe, Salam R. Al-E'mari, S. Makhadmeh· Evolutionary Intelligence· 0 citations
A Digital Twin (DT)-enabled IDS framework that combines deep learning with real-time process simulation is proposed that consistently outperforms the evaluated representative baseline IDS methods under identical experimental conditions.
Yousef K. Sanjalawe, S. Makhadmeh, Salam R. Al-E’mari et al.· Cluster Computing· 0 citations
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