These findings demonstrate that Edge-ZTA provides an efficient, privacy-preserving, and scalable cybersecurity framework capable of mitigating sophisticated multi-stage cyberattacks while satisfying the stringent performance requirements of next-generation Industrial IoT infrastructures.
Results indicate that decentralized, interoperable, and energy-aware intrusion detection is feasible for large-scale IoT deployments, particularly in resource-constrained IoT environments.
The Internet of Things (IoT) has connected billions of physical objects to the internet, enabling smarter homes, manufacturing, critical infrastructure, transportation, and healthcare. However, IoT ecosystems are increasingly vulnerable to cyberattacks due to the growing number of resource-limited devices, weak authent...
Cloud computing and the Internet of Things (IoT) have emerged as transformative technologies driving digital innovation across industries. Cloud computing offers scalable, on-demand computing resources, while IoT interconnects billions of physical devices to generate real-time data for intelligent decision-making. T...
The study concludes that Zero Trust is most practical in IIoT when implemented incrementally, with OT safety and availability treated as first-class requirements and legacy assets protected through compensating controls rather than forced modernization.
Experimental evaluation demonstrates up to 95% detection accuracy, a 50% reduction in response latency, and scalability to over 100,000 IoT devices without performance degradation, highlighting the suitability of SC-ARS for deployment in smart cities, industrial IoT, and decentralized critical infrastructures where tru...
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