Predictive RTO for CoAP using Lightweight Support Vector Regression in Internet of Things

Collection of systems papers with several security-relevant implications. prCoAP (CoAP RTO prediction with on-device SVR + RF drop classifier) improves reliability for constrained IoT devices but introduces new ML-on-device attack surfaces (poisoning, adversarial inputs) and can be abused to influence retransmission behavior (availability/DoS). Multiple papers address cache-coherence and NoC task mapping (CoTM; related coherence/routing work): coherence-aware mappings can reduce traffic and energy but alter microarchitectural interactions and may enable or change coherence-based side channels.