{"id":"W2143305710","doi":"10.1109/icsmc.2007.4414006","title":"A flow based approach for SSH traffic detection","year":2007,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Payload (computing); AdaBoost; Computer science; Scalability; False positive rate; Real-time computing; Data mining; Computer network; Artificial intelligence; Support vector machine; Database; 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":[0.001047947,0.0009600963,0.0008719284,0.00496768,0.0005430556,0.0009459087,0.001199365,0.001129983,0.002246433],"category_scores_gemma":[0.00194621,0.0002894668,0.0005497246,0.001215856,0.0004445365,0.001493743,0.0004785066,0.0007673991,0.001422959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006592001,"about_ca_system_score_gemma":0.0007203127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001636862,"about_ca_topic_score_gemma":0.001558756,"domain_scores_codex":[0.9989641,0.000194016,0.00005194239,0.0002011165,0.0005020039,0.00008690744],"domain_scores_gemma":[0.998831,0.0002773657,0.0001358464,0.0001341599,0.0005728371,0.00004884411],"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":[0.0003603756,0.0007223136,0.008625639,0.0001787594,0.00008677775,0.00009590712,0.00007467423,0.04833574,0.06656596,0.005567242,0.003569626,0.8658169],"study_design_scores_gemma":[0.00002119785,0.0002683302,0.005956489,0.00001560845,0.00002933961,0.0003194763,0.00003060355,0.952079,0.03330442,0.003660686,0.004264247,0.00005057475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0374937,0.000179951,0.9541654,0.00009931745,0.0001017192,0.0002515641,0.0002552638,0.003831089,0.003622031],"genre_scores_gemma":[0.3998815,0.0002523397,0.5912734,0.0001650079,0.0001651698,0.0003710215,0.0008974698,0.0001579671,0.006836207],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00496768,"threshold_uncertainty_score":0.007515073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476560543163873,"score_gpt":0.2307552880062144,"score_spread":0.2159896825745757,"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."}}