{"id":"W2614802721","doi":"10.1016/b978-0-12-803843-7.00006-5","title":"Intrusion Detection in Contemporary Environments","year":2017,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Intrusion detection system; Malware; Cloud computing; Computer science; Variety (cybernetics); Mobile device; Intrusion; Mobile cloud computing; Computer security; Intrusion prevention system; Distributed computing; Operating system; Artificial intelligence; Geology","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":[0.0004882444,0.001322819,0.0005005379,0.001694476,0.0005120717,0.003084356,0.0009226028,0.001613956,0.01691933],"category_scores_gemma":[0.001804171,0.0005505067,0.0003772225,0.001676201,0.0007850661,0.003853212,0.001396196,0.00194912,0.01096829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005526061,"about_ca_system_score_gemma":0.0006439445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008228889,"about_ca_topic_score_gemma":0.001467349,"domain_scores_codex":[0.9994569,0.00005360323,0.00002109913,0.00009833903,0.0003248899,0.00004517493],"domain_scores_gemma":[0.9993138,0.0003080111,0.00005628403,0.000107327,0.0001682377,0.00004638632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001087079,0.00003632798,0.0006452869,0.0002088343,0.00001297246,0.00007618715,0.0001986022,0.002013153,0.002698041,0.02142686,0.06387296,0.9087998],"study_design_scores_gemma":[0.000005853369,0.00008690239,0.003096828,0.001005397,0.00004081078,0.002475299,0.0003456528,0.04148691,0.009761652,0.09860101,0.8430417,0.00005197881],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01665809,0.09488784,0.432371,0.006052547,0.004114496,0.000168326,0.000553237,0.007610939,0.4375836],"genre_scores_gemma":[0.1495562,0.1023424,0.2316254,0.001996663,0.003142399,0.0001474435,0.001663443,0.001406698,0.5081193],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01691933,"threshold_uncertainty_score":0.05660087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02362191691740083,"score_gpt":0.2538611176054243,"score_spread":0.2302392006880235,"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."}}