Original ResearchPublished 2 October 2026Adversarially robust dynamic trust evaluation via graph-attentive reinforcement learning for scalable edge IoT securityPavan Sai Ramarao Maddali · Vijay Kumar Damera · Ratna Kumar PrathipatiFrontiers in the Internet of Thingsdoi 10.3389/friot.2026.1883900
ReviewPublished 2 October 2026Intelligent defense at the edge: a comprehensive survey of federated learning, TinyML and explainable AI for intrusion detection in IoT and IIoT ecosystemsS. Sarath Kumar · M. Asha JerlinFrontiers in Artificial Intelligencedoi 10.3389/frai.2026.1900815
Original ResearchPublished 10 September 2026IOTTRUST: graph-based anomaly detection for IoT intrusion using network flow topology and community structure analysis on UNSW-NB15Nachaat Mohamed · Hamed TaherdoostFrontiers in Big Datadoi 10.3389/fdata.2026.1885965
Original ResearchPublished 3 September 2026Lightweight confidentiality framework for TinyML-enabled IoT edge communicationKurunandan Jain · Prabhakar Krishnan · Sethu Subramanian N. · Prabu P.Frontiers in Computer Sciencedoi 10.3389/fcomp.2026.1847364
Original ResearchPublished 1 September 2026HyperIDS: a hypergraph learning and quantum-inspired transformer ensemble framework for IoT intrusion detectionSamayank Goel · Logeswari Govindaraj · Tamilarasi Kathirvel MuruganFrontiers in Big Datadoi 10.3389/fdata.2026.1901121
Systematic ReviewPublished 19 May 2026AI-driven smart home optimization for sustainable energy and water management: a systematic reviewChisom E. Ogbuanya · Joy N. Eneh · Collins N. UdanorFrontiers in Control Engineeringdoi 10.3389/fcteg.2026.1793880
