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Predicting Railway Signalling Commands Using Neural Networks for Anomaly Detection., , , and . SAFECOMP, volume 12234 of Lecture Notes in Computer Science, page 164-178. Springer, (2020)Rule-based Anomaly Detection for Railway Signalling Networks., , , and . CoRR, (2020)Studying the Effects of Prolonged Thermal Stress Aiming to Induce Artificial Aging on DRAM Retention-Based Physical Unclonable Functions., , , , , , and . ICCE, page 1-6. IEEE, (2024)Demo: Railway Signalling Security Testbed., , and . VNC, page 1-2. IEEE, (2020)Abusing Commodity DRAMs in IoT Devices to Remotely Spy on Temperature., , , , , , , , and . CoRR, (2022)Practical Non-Invasive Probing Attacks Against Novel Carbon-Nanotube-Based Physical Unclonable Functions., , , , , , , , , and . CoRR, (2023)Abusing Commodity DRAMs in IoT Devices to Remotely Spy on Temperature., , , , , , , , and . IEEE Trans. Inf. Forensics Secur., (2023)Securing FlexRay-based in-vehicle networks., , , and . Microprocess. Microsystems, (2020)Keep your Enemies closer: On the minimal Distance of Adversaries when using Channel-based Key Extraction in SISO 6G Systems., , , and . WiMob, page 445-451. IEEE, (2023)An Evaluation of the Security and the Privacy of a Novel Single Sign-On System Based on Physical Unclonable Functions., , , , , and . ICCE-Berlin, page 76-81. IEEE, (2023)