{"id":"W2616325250","doi":"10.1109/waina.2017.124","title":"Detecting Anomalies in the Data Residing over the Cloud","year":2017,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Computer science; Computer security; Denial-of-service attack; Anomaly detection; Hacker; Cluster analysis; Malware; The Internet; Data mining; Machine learning; World Wide Web; Operating system","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":[0.0006894105,0.0003664355,0.0005754821,0.002627514,0.0005137875,0.001166227,0.0004912505,0.0006031322,0.0002584084],"category_scores_gemma":[0.003975293,0.0001390398,0.0003131925,0.00212117,0.0004099872,0.001234483,0.0005890511,0.0005222669,0.0002300005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005799794,"about_ca_system_score_gemma":0.0006869992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003278446,"about_ca_topic_score_gemma":0.003555863,"domain_scores_codex":[0.9986722,0.0001817315,0.0001440929,0.0002767087,0.0005462303,0.0001790982],"domain_scores_gemma":[0.996281,0.001229638,0.0009506437,0.0005908149,0.0007671723,0.0001807634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008170828,0.0006243754,0.5515712,0.0002411565,0.0002242921,0.001285907,0.0007846983,0.04717067,0.1140793,0.003700878,0.002369883,0.2771304],"study_design_scores_gemma":[0.000009224564,0.0002491969,0.1409777,0.00003344615,0.00007494974,0.001402331,0.0006970305,0.7623321,0.08523277,0.00506615,0.003870922,0.00005417799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8951291,0.0002896737,0.1003939,0.000299066,0.00007214436,0.00006975674,0.0006962919,0.001667135,0.00138302],"genre_scores_gemma":[0.9798604,0.00008301211,0.01940708,0.00002335913,0.00001403624,0.00001084697,0.0003691668,0.00002149228,0.000210646],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003278446,"threshold_uncertainty_score":0.006518722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06749684998137341,"score_gpt":0.3018410871412935,"score_spread":0.2343442371599201,"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."}}