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Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges., , , , , , , and . IEEE Commun. Surv. Tutorials, 25 (4): 2983-3013 (Fourthquarter 2023)Can Evil IoT Twins Be Identified? Now Yes, a Hardware Behavioral Fingerprinting Methodology., , , , , and . CoRR, (2021)A Framework Quantifying Trustworthiness of Supervised Machine and Deep Learning Models., , , , , , , , and . SafeAI@AAAI, volume 3381 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Stealth Spectrum Sensing Data Falsification Attacks Affecting IoT Spectrum Monitors on the Battlefield., , , , , , and . MILCOM, page 673-678. IEEE, (2023)Analyzing the robustness of decentralized horizontal and vertical federated learning architectures in a non-IID scenario., , , , , , and . Appl. Intell., 54 (8): 6637-6653 (April 2024)RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-Day Attacks in IoT., , , , , , and . IEEE Trans. Inf. Forensics Secur., (2024)Unlocking the Potential of Knowledge Graphs: A Cyber Defense Ontology for a Knowledge Representation and Reasoning System., , , , , , , , , and . ARES, page 73:1-73:9. ACM, (2024)Evaluating the impact of contextual information on the performance of intelligent continuous authentication systems., , , and . ARES, page 72:1-72:10. ACM, (2024)Intelligent Fingerprinting to Detect Data Leakage Attacks on Spectrum Sensors., , , , and . ICC, page 4080-4085. IEEE, (2022)Behavioral fingerprinting to detect ransomware in resource-constrained devices., , , , , , , and . Comput. Secur., (December 2023)