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Employing Blockchain and Physical Unclonable Functions for Counterfeit IoT Devices Detection., , , , , and . COINS, page 172-178. ACM, (2019)Using Blockchains to Strengthen the Security of Internet of Things., , , , , , , , and . Euro-CYBERSEC, volume 821 of Communications in Computer and Information Science, page 90-100. Springer, (2018)Supply Current Monitoring for Anomaly Detection on IoT Devices., , and . PCI, page 9:1-9:2. ACM, (2017)Compressing Time Series Towards Lightweight Integrity Commitments., , , , , , and . SEEDA-CECNSM, page 1-7. IEEE, (2023)Machine Learning for All: A More Robust Federated Learning Framework., and . ICISSP, page 544-551. SciTePress, (2019)Security and Privacy in the Internet of Things Using Blockchain Technology., and . DCOSS, page 284-290. IEEE, (2019)Anomaly detection in IoT devices via monitoring of supply current., , , , and . ICCE-Berlin, page 1-4. IEEE, (2018)A Test-Bed for Intrusion Detection Systems Results Post-processing., , and . EuroPKI, volume 8341 of Lecture Notes in Computer Science, page 170-183. Springer, (2013)Evading Detection During Network Reconnaissance., , and . ICISSP, page 528-534. SciTePress, (2023)Attack Path Analysis and Cost-Efficient Selection of Cybersecurity Controls for Complex Cyberphysical Systems., , , and . CyberICPS/SECPRE/ADIoT/SPOSE/CPS4CIP/CDT&SECOMANE@ESORICS, volume 13106 of Lecture Notes in Computer Science, page 74-90. Springer, (2021)