{"id":"W3211303204","doi":"10.1007/978-3-030-76409-8_9","title":"A Study on the Effect of Dimensionality Reduction on Cyber-Attack Identification in Water Storage Tank SCADA Systems","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"SCADA; Intrusion detection system; Dimensionality reduction; Reduction (mathematics); Computer science; Curse of dimensionality; Intrusion; Real-time computing; Identification (biology); Data mining; Artificial intelligence; Engineering; 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":[0.0008394563,0.000315356,0.0004871013,0.0004662944,0.0003443279,0.0007260079,0.0002705888,0.0003068428,0.00186521],"category_scores_gemma":[0.00549692,0.0001279644,0.0005474876,0.0007286519,0.0003643385,0.001158168,0.000243669,0.0004557686,0.0002170677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003809275,"about_ca_system_score_gemma":0.0002276581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002611347,"about_ca_topic_score_gemma":0.002396529,"domain_scores_codex":[0.9992798,0.0003454398,0.0000396104,0.0000681469,0.0002322287,0.00003482944],"domain_scores_gemma":[0.9916757,0.007240945,0.0001266167,0.0003866552,0.0005402628,0.00002984367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009275636,0.0005427032,0.01370418,0.000870414,0.0002408098,0.0004608991,0.0006924651,0.2339264,0.03086365,0.02428278,0.005829406,0.6876588],"study_design_scores_gemma":[0.00003197976,0.0008041958,0.02528523,0.00006878323,0.0001314587,0.000416043,0.0004273761,0.937263,0.02258321,0.008823199,0.004132358,0.00003310187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7664697,0.006525527,0.190834,0.0007473535,0.0002079669,0.0001459303,0.0002870739,0.0003945891,0.03438783],"genre_scores_gemma":[0.9347225,0.002054198,0.05497642,0.00009305811,0.00008138095,0.000033337,0.0002604965,0.00005291975,0.007725685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002611347,"threshold_uncertainty_score":0.006239772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0267220113020615,"score_gpt":0.2557599126378299,"score_spread":0.2290379013357684,"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."}}