{"id":"W7125608105","doi":"10.1109/cascon66301.2025.00054","title":"Detection and Prevention of Malicious Data Manipulation Attacks in Microgrids","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Anomaly detection; Encryption; Reliability (semiconductor); Probabilistic logic; Smart grid; Data integrity; Vulnerability (computing); Grid","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":[0.001116353,0.0006097122,0.000730987,0.0007320201,0.0003874917,0.000778007,0.00089532,0.0005928504,0.0004817493],"category_scores_gemma":[0.005712425,0.0002182252,0.0004448949,0.0004028236,0.0008558069,0.001374973,0.001098297,0.000498949,0.0002331556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005882378,"about_ca_system_score_gemma":0.0008304212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002552286,"about_ca_topic_score_gemma":0.001279348,"domain_scores_codex":[0.9987902,0.0003375357,0.0000684789,0.0002599948,0.0004178242,0.0001259752],"domain_scores_gemma":[0.9965897,0.001145341,0.0009408836,0.0006597129,0.0005463926,0.0001179864],"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":[0.0005821834,0.0003023669,0.02507831,0.0001256077,0.0001109926,0.0003105103,0.0002307752,0.833842,0.02969916,0.01023817,0.000968218,0.0985117],"study_design_scores_gemma":[0.000008519697,0.00009250279,0.001699256,0.000005233727,0.00001188129,0.0000589991,0.00002437892,0.9898346,0.006256003,0.001756428,0.0002432735,0.000008911432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4007155,0.0001731131,0.5936725,0.0002663352,0.0000356836,0.0001456461,0.0001262537,0.003015186,0.001849875],"genre_scores_gemma":[0.9834526,0.00004016919,0.01615268,0.00002138364,0.000004927651,0.00001885533,0.00003702201,0.00001983924,0.0002525545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002552286,"threshold_uncertainty_score":0.0059039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02165827894072608,"score_gpt":0.2821587075966124,"score_spread":0.2605004286558863,"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."}}