{"id":"W4317040164","doi":"10.1007/978-3-031-24185-7_6","title":"Traffic Analysis Based Misbehavior Detection at Application Platform Layer","year":2022,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Layer (electronics); Computer science; Computer network; Materials science; Nanotechnology","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":[0.0001893045,0.000889865,0.0003571291,0.001503942,0.0002833501,0.001103986,0.0006235894,0.0005004646,0.002967027],"category_scores_gemma":[0.0007954138,0.000284605,0.0002669435,0.0008150241,0.0002258012,0.001017208,0.0003531018,0.0006638365,0.002379633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004180225,"about_ca_system_score_gemma":0.0002910852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001005117,"about_ca_topic_score_gemma":0.001166478,"domain_scores_codex":[0.9997508,0.00002333707,0.000008082922,0.00004055592,0.0001486584,0.00002862782],"domain_scores_gemma":[0.9994529,0.0001697699,0.00005591545,0.00006487902,0.0002339121,0.00002274503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001923358,0.0001818224,0.004316997,0.0002150836,0.0000532388,0.0002829854,0.0001471647,0.02075676,0.1505619,0.0136973,0.01563922,0.7939553],"study_design_scores_gemma":[0.000006543702,0.0002173792,0.006007779,0.0001001934,0.0001212423,0.001457714,0.00009732942,0.7420282,0.1906469,0.01776015,0.04150457,0.00005195656],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08609325,0.004225158,0.8463141,0.0004790924,0.0006214123,0.0001745629,0.0004703953,0.009775764,0.05184623],"genre_scores_gemma":[0.6858349,0.004486003,0.1999802,0.000315775,0.00041382,0.0001052637,0.0009008669,0.0009109795,0.1070521],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002967027,"threshold_uncertainty_score":0.009925723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448615496792908,"score_gpt":0.2336391826748416,"score_spread":0.2191530277069125,"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."}}