{"id":"W4387982695","doi":"10.1109/rfid-ta58140.2023.10290714","title":"Replay Cyberattack Detection in an IoT-based Healthcare System using RFID Sensors","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Hacker; Replay attack; Computer security; Key (lock); Adversary; Drone; Scheme (mathematics); Embedded system; Authentication (law)","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":[0.0001927982,0.000101505,0.0001241895,0.0002045625,0.00008155372,0.00002840607,0.00006683562,0.0001049523,0.000006808179],"category_scores_gemma":[0.00001105691,0.00009932856,0.00002773266,0.0006579497,0.00001359235,0.00007980387,0.000008748884,0.0001557048,0.0000565943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001708338,"about_ca_system_score_gemma":0.00001949945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000397237,"about_ca_topic_score_gemma":0.002232344,"domain_scores_codex":[0.9991767,0.00005629556,0.0001917539,0.0001852647,0.0001288984,0.0002610371],"domain_scores_gemma":[0.9996411,0.00003349757,0.00001404985,0.0002073429,0.00002450425,0.0000795547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007871145,0.000005516159,0.002899082,0.0002870894,0.000002818246,0.00004645554,0.0003317481,0.980212,0.01568692,0.00004542861,0.00003170759,0.0004433148],"study_design_scores_gemma":[0.000145703,0.000025381,0.005863131,0.00008410987,0.000001863594,0.00001191344,0.0007607095,0.9646029,0.02828134,0.000002078505,0.0000930738,0.0001277512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968954,0.00003488084,0.0009281654,0.00003912683,0.0007643217,0.0001379597,0.000003582423,0.00101719,0.0001793942],"genre_scores_gemma":[0.9995812,0.000003076902,0.0002263425,0.00002341958,0.000111607,0.000007141575,0.000004819097,0.0000221074,0.00002028543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01560911,"threshold_uncertainty_score":0.4050501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511211027639793,"score_gpt":0.2685463670201254,"score_spread":0.2434342567437274,"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."}}