{"id":"W4313142603","doi":"10.1109/tac.2022.3200963","title":"Optimal Deception Attacks Against Remote State Estimation: An Information-Based Approach","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Estimator; Deception; Divergence (linguistics); Minimum mean square error; Computer science; Information theory; State (computer science); Transformation (genetics); Measure (data warehouse); Perspective (graphical); Mathematical optimization; Control theory (sociology); Algorithm; Mathematics; Data mining; Artificial intelligence; Control (management); Statistics; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004984093,0.001912847,0.001973016,0.001528046,0.0006943121,0.002572587,0.001781632,0.002383089,0.001674486],"category_scores_gemma":[0.0214266,0.0007604401,0.001313519,0.0009269013,0.003844316,0.004956666,0.00382164,0.00310167,0.0004278981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632672,"about_ca_system_score_gemma":0.00107659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008500937,"about_ca_topic_score_gemma":0.0004137423,"domain_scores_codex":[0.9950992,0.001876116,0.0002630791,0.0007800673,0.001504024,0.0004773941],"domain_scores_gemma":[0.9811198,0.01398494,0.001898019,0.001522053,0.001188373,0.0002868229],"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":[0.0002928651,0.00007843266,0.0006916858,0.00025976,0.0001938811,0.0002916295,0.0002685752,0.7712293,0.005474449,0.1529025,0.001010253,0.0673066],"study_design_scores_gemma":[0.00001353104,0.0001142427,0.0001822182,0.00004033,0.00003075023,0.00009943274,0.00002765105,0.9600002,0.002992361,0.03583655,0.0006280763,0.00003466381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006751154,0.0004496854,0.9903975,0.0002901239,0.00003858095,0.00002428837,0.00001831763,0.00007895457,0.001951436],"genre_scores_gemma":[0.9087436,0.001336624,0.0853025,0.0002741743,0.0003274299,0.0001093241,0.00007362801,0.00007330495,0.003759402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004984093,"threshold_uncertainty_score":0.02635872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006993723261523954,"score_gpt":0.2125996678856152,"score_spread":0.2056059446240913,"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."}}