{"id":"W1509040261","doi":"10.1007/3-540-36110-3_14","title":"Performance Study of COPS over TLS and IPsec Secure Session","year":2002,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"IPsec; Computer science; Encryption; Computer network; Session (web analytics); Session key; Authentication (law); Computer security; Throughput; Access control; Operating system; World Wide Web; Wireless; The Internet","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":[0.002104991,0.0006157784,0.0008114997,0.00115848,0.0009627811,0.001421818,0.0008941814,0.0006097014,0.005638159],"category_scores_gemma":[0.009587562,0.0001992403,0.0002611719,0.001284017,0.0007129894,0.001266706,0.0006265028,0.0005812933,0.0007051431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002200091,"about_ca_system_score_gemma":0.001255214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007473893,"about_ca_topic_score_gemma":0.0034971,"domain_scores_codex":[0.9973883,0.0005491702,0.0001132068,0.0003210076,0.0008140953,0.0008142149],"domain_scores_gemma":[0.9802665,0.01225023,0.001054583,0.001528189,0.003996867,0.0009036447],"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":[0.0398457,0.002219588,0.05057066,0.001105032,0.0006643179,0.001339014,0.001264678,0.44925,0.1590805,0.01584673,0.02556703,0.2532468],"study_design_scores_gemma":[0.0002151026,0.003432712,0.01647234,0.00003486421,0.0002600623,0.0004784807,0.0006297021,0.9106301,0.06403712,0.001243581,0.002508514,0.00005743479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850379,0.0008842744,0.00601201,0.0002123181,0.00008057473,0.00005491267,0.0003656818,0.001263812,0.006088496],"genre_scores_gemma":[0.9978067,0.0001000457,0.0007692255,0.0000166698,0.0000168329,0.00000956549,0.0001953527,0.00005040643,0.001035249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007473893,"threshold_uncertainty_score":0.01886147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019553539210423,"score_gpt":0.2128890544377811,"score_spread":0.2026935190456769,"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."}}