{"id":"W4403183251","doi":"10.1109/tac.2024.3476309","title":"Replay Attack Detection Based on Parity Space Method for Cyber-Physical Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Science Foundation of Beijing Municipality; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Computer science; Cyber-physical system; Replay attack; Parity (physics); Computer security; Real-time computing; Physics; Authentication (law); Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007765522,0.0002660952,0.0003654089,0.0003063331,0.000385563,0.0004428056,0.000299789,0.000154647,0.00002571596],"category_scores_gemma":[0.00002542308,0.0002374678,0.0003536882,0.0006135462,0.00002935023,0.0003586599,0.000001460114,0.0003462883,0.0001418738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002065174,"about_ca_system_score_gemma":0.00008618628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005348498,"about_ca_topic_score_gemma":0.00005322646,"domain_scores_codex":[0.9978623,0.0003531751,0.0003681037,0.0006471199,0.0004241208,0.000345157],"domain_scores_gemma":[0.9971989,0.001831876,0.00009040437,0.0006628593,0.00008663914,0.000129323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001861255,0.0004779167,2.176879e-7,0.00033105,0.0001663966,0.00001340304,0.0003863225,0.4410808,0.004186586,0.003590693,0.0008752057,0.5487053],"study_design_scores_gemma":[0.0009091672,0.0008709675,0.00001010863,0.0001958387,0.00009293278,0.00002260707,0.000009871012,0.9830351,0.009470382,0.0004587818,0.004681532,0.0002427162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002506563,0.00003773034,0.989315,0.001276666,0.004110526,0.001136363,0.00002786743,0.001387453,0.0002017894],"genre_scores_gemma":[0.9901333,0.00000290172,0.008445987,0.0003040163,0.0002384263,0.0006021354,8.703614e-7,0.00002809879,0.0002442702],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9876267,"threshold_uncertainty_score":0.9683654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599991067068068,"score_gpt":0.2838436407445123,"score_spread":0.2678437300738317,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}