{"id":"W1608061033","doi":"10.1007/11556992_2","title":"SVision: A Network Host-Centered Anomaly Visualization Technique","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Denial-of-service attack; Intrusion detection system; Anomaly detection; Visualization; Network security; Ping (video games); Botnet; Data mining; Host (biology); Network administrator; Internet Control Message Protocol; Anomaly (physics); Computer security; Computer network; The Internet; World Wide Web; Network packet","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":[0.001008638,0.001018685,0.0009500898,0.002555376,0.0005618915,0.001637763,0.001756209,0.0007100415,0.003417968],"category_scores_gemma":[0.00293532,0.0004925482,0.0008428752,0.00203354,0.0003731946,0.001773008,0.001975405,0.00203329,0.0007917673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003442015,"about_ca_system_score_gemma":0.0007665867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001895547,"about_ca_topic_score_gemma":0.003096519,"domain_scores_codex":[0.9992728,0.0001277962,0.00003334765,0.0001031559,0.0003963557,0.00006662128],"domain_scores_gemma":[0.9989428,0.0003420651,0.0001128977,0.0002277544,0.0003043227,0.00007015462],"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":[0.0003835521,0.0001521431,0.004101508,0.0002259811,0.0002350434,0.0002445674,0.0004179919,0.0412285,0.06073565,0.01616535,0.01793285,0.8581768],"study_design_scores_gemma":[0.00005491624,0.000136893,0.001894551,0.00003784672,0.0001002083,0.0006478869,0.0001497218,0.8953251,0.05713775,0.02032483,0.02411441,0.00007594163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005794746,0.000105283,0.9867638,0.00006290606,0.00005428895,0.00003092855,0.0001578469,0.006150941,0.0008792022],"genre_scores_gemma":[0.1394798,0.0003334407,0.8547467,0.00007665465,0.00009647529,0.00009614399,0.0007875402,0.00143577,0.002947523],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003417968,"threshold_uncertainty_score":0.01143426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989551824396039,"score_gpt":0.2870438955490729,"score_spread":0.2671483773051125,"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."}}