{"id":"W3091566111","doi":"10.1109/ccta41146.2020.9206373","title":"Set-Theoretic Control for Active Detection of Replay Attacks with Applications to Smart Grid","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Conference on Control Technology and Applications (CCTA)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Replay attack; Computer science; Digital watermarking; Scheme (mathematics); Cyber-physical system; Set (abstract data type); Exploit; Stability (learning theory); Grid; Bounded function; Transient (computer programming); Control (management); Control theory (sociology); Image (mathematics); Authentication (law); Artificial intelligence; Computer security; Machine learning; Mathematics","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":[0.0009724814,0.0007988784,0.000594331,0.0004906025,0.0002657018,0.0009893549,0.0008152273,0.0006526012,0.0014766],"category_scores_gemma":[0.003070727,0.0002385965,0.0005991766,0.0003598172,0.001327681,0.0009350093,0.000844712,0.001094549,0.0001807137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005891712,"about_ca_system_score_gemma":0.0004639085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009192186,"about_ca_topic_score_gemma":0.0005888276,"domain_scores_codex":[0.9991043,0.0002029067,0.00005284054,0.0001546473,0.0004313852,0.00005378148],"domain_scores_gemma":[0.9987405,0.0006598064,0.0002741058,0.0001172222,0.000178435,0.00002993941],"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":[0.0002112241,0.00009862537,0.0004806601,0.0004134588,0.0001050156,0.000192485,0.000328234,0.7547246,0.02984312,0.1053317,0.0009930868,0.1072778],"study_design_scores_gemma":[0.00001390834,0.0001446727,0.00008860652,0.0000196334,0.00001243631,0.00003123928,0.00001397749,0.9839685,0.004909767,0.009711739,0.00107136,0.00001414427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007868299,0.0002794004,0.9895318,0.0001256744,0.00005255513,0.00002858392,0.000009783609,0.0001608943,0.001943113],"genre_scores_gemma":[0.9489,0.0003646438,0.04904816,0.0001207602,0.00007805221,0.00009688321,0.00002560514,0.00002973615,0.001336185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0014766,"threshold_uncertainty_score":0.005143046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008325273731545,"score_gpt":0.2328321753252245,"score_spread":0.2227489225879091,"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."}}