{"id":"W2898625021","doi":"10.13052/jcsm2245-1439.812","title":"Unsupervised Monitoring of Networkand Service Behaviour Using SelfOrganizing Maps","year":2018,"lang":"en","type":"article","venue":"Journal of Cyber Security and Mobility","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute for Materials Science; Dalhousie University; Public Safety Canada; Defence Research and Development Canada","keywords":"Botnet; Computer science; Unsupervised learning; Anomaly detection; Service (business); Analytics; Intrusion detection system; Data mining; Web analytics; Machine learning; Web service; Artificial intelligence; World Wide Web; The Internet; Web intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003829952,0.0004723735,0.0003520397,0.001629213,0.0002308098,0.0006413504,0.0005630565,0.000346406,0.0002987042],"category_scores_gemma":[0.00167125,0.0002113061,0.0004124089,0.001086786,0.0002770292,0.000748002,0.0004208491,0.0003492126,0.0002379241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003906525,"about_ca_system_score_gemma":0.0003513619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003233813,"about_ca_topic_score_gemma":0.00489123,"domain_scores_codex":[0.9995511,0.0001068309,0.00002330552,0.00009816978,0.0001686005,0.0000519147],"domain_scores_gemma":[0.9990865,0.0003641018,0.0001409472,0.0001160752,0.0002558237,0.00003665677],"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":[0.0004330649,0.0005508216,0.04309608,0.0002370944,0.0003647523,0.0004540235,0.0006126126,0.470688,0.05197406,0.002717915,0.003590637,0.4252809],"study_design_scores_gemma":[0.000003404012,0.00003358819,0.007282924,0.000004642759,0.00001171715,0.00006559543,0.00007690356,0.9821082,0.008231579,0.001644967,0.0005248353,0.00001154214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5084859,0.0002066834,0.4843468,0.0001571426,0.0000404549,0.0001508187,0.0007958336,0.003080037,0.002736391],"genre_scores_gemma":[0.9380918,0.00008556128,0.06035665,0.00002056263,0.00001348285,0.000065772,0.0006698678,0.00004954269,0.0006466736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003233813,"threshold_uncertainty_score":0.00642997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104224420275513,"score_gpt":0.2570672244271343,"score_spread":0.2360249802243791,"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."}}