{"id":"W2904557769","doi":"10.1109/tii.2018.2885170","title":"Stochastic Stability Analysis and Control of Secondary Frequency Regulation for Islanded Microgrids Under Random Denial of Service Attacks","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Microgrid; Denial-of-service attack; Control theory (sociology); Vulnerability (computing); Observability; Computer science; Stochastic process; Lyapunov function; Controller (irrigation); Stability (learning theory); Engineering; Mathematical optimization; Computer security; Mathematics; Control (management)","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":[0.0007351944,0.000689979,0.0006065579,0.0003323266,0.0002951189,0.0008343009,0.0004793891,0.0003629157,0.001002446],"category_scores_gemma":[0.001575019,0.0002121263,0.0006867085,0.0002117323,0.0006614825,0.0002984603,0.0006899313,0.000488476,0.00008826007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007225485,"about_ca_system_score_gemma":0.0006792218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007474519,"about_ca_topic_score_gemma":0.003092271,"domain_scores_codex":[0.9996941,0.00008451021,0.00001395949,0.00007945392,0.00007999084,0.00004806525],"domain_scores_gemma":[0.9993987,0.0002382771,0.0001536956,0.00002808286,0.0001562612,0.00002497779],"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":[0.00007319699,0.00001748564,0.0007869216,0.00006347401,0.0000433155,0.0001133426,0.00008180633,0.979529,0.006127266,0.008705914,0.0002315039,0.004226789],"study_design_scores_gemma":[0.000002000714,0.00001563854,0.0002061931,0.000001797733,0.000005748326,0.00000487589,0.000007728568,0.9986668,0.0002427763,0.0007898344,0.00005455842,0.000002040334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2109865,0.0003103114,0.780916,0.0003422415,0.00004955441,0.00005459746,0.000118276,0.0002902666,0.006932154],"genre_scores_gemma":[0.9974273,0.00008797085,0.001757291,0.00001087564,0.000007919499,0.00002199816,0.00001914076,0.00000924923,0.000658187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007474519,"threshold_uncertainty_score":0.014862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02219670335486782,"score_gpt":0.2351245662461227,"score_spread":0.2129278628912549,"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."}}