{"id":"W3037922012","doi":"10.1109/tac.2020.3004326","title":"Setpoint Attack Detection in Cyber-Physical Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Setpoint; Computer science; Exploit; Controller (irrigation); Cyber-physical system; SIGNAL (programming language); Control system; Control theory (sociology); Detector; Real-time computing; Control (management); Engineering; Computer security; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001296547,0.0005348402,0.000772843,0.0008747761,0.0003693351,0.001325389,0.0009006629,0.001318766,0.00103125],"category_scores_gemma":[0.009776653,0.0002893741,0.0005578165,0.0004682638,0.001917084,0.00225338,0.001980397,0.001135008,0.000173181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005297372,"about_ca_system_score_gemma":0.0004104311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000438796,"about_ca_topic_score_gemma":0.0002030741,"domain_scores_codex":[0.9976385,0.0007362788,0.0001078488,0.0004646815,0.0009025602,0.0001501591],"domain_scores_gemma":[0.9933396,0.004309688,0.001023343,0.0008031633,0.0004154167,0.0001088036],"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":[0.0003268345,0.0000799401,0.004905974,0.0003052295,0.000162203,0.0007996281,0.0003826056,0.7755321,0.02911939,0.1139154,0.000568107,0.0739026],"study_design_scores_gemma":[0.00001285141,0.0001501585,0.0006224146,0.00002311356,0.00001272439,0.000227326,0.00005321624,0.9679932,0.009310928,0.02103017,0.0005498303,0.00001409652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0844509,0.0003237908,0.9129989,0.0001556666,0.00002449763,0.00005559396,0.00002425827,0.0002939163,0.001672438],"genre_scores_gemma":[0.9774789,0.0001414703,0.02184655,0.00002622036,0.0000144225,0.00002810117,0.00001844988,0.00001165396,0.0004341906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001325389,"threshold_uncertainty_score":0.006856918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010697946092534,"score_gpt":0.2172339568994096,"score_spread":0.2065360108068756,"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."}}