{"id":"W2979425925","doi":"10.1049/iet-com.2019.0657","title":"T_CAFE: A Trust based Security approach for Opportunistic IoT","year":2019,"lang":"en","type":"article","venue":"IET Communications","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer network; Computer science; Identifier; Network packet; Internet of Things; Routing protocol; Computer security; Unique identifier; The Internet; Latency (audio); Telecommunications; World Wide Web","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":[0.001773184,0.000501352,0.0007018694,0.0009240175,0.001537949,0.00156906,0.001672644,0.001631118,0.001235064],"category_scores_gemma":[0.004623776,0.0002551407,0.0008268566,0.0005511012,0.001546328,0.004114868,0.002962471,0.00145718,0.0003122953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371877,"about_ca_system_score_gemma":0.00173004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002689948,"about_ca_topic_score_gemma":0.002239152,"domain_scores_codex":[0.9981921,0.000542912,0.0001673885,0.0002550867,0.000558889,0.0002835241],"domain_scores_gemma":[0.9975291,0.0006497756,0.0004930256,0.0005816623,0.0004573392,0.0002890803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008452956,0.0005708396,0.007013637,0.00075354,0.0004430648,0.00289539,0.00273854,0.1747483,0.05216303,0.407147,0.01343931,0.3372419],"study_design_scores_gemma":[0.00009536919,0.0007015227,0.001157361,0.0001160109,0.0001432428,0.002225388,0.000620341,0.8563299,0.0149453,0.08910678,0.03439013,0.0001685716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03251946,0.000702998,0.9574054,0.000959534,0.0001639771,0.0004750733,0.00007491503,0.0007830877,0.00691552],"genre_scores_gemma":[0.8955823,0.0004828827,0.09982538,0.0002465524,0.00006754827,0.0002111394,0.00008276164,0.0000357828,0.003465664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002689948,"threshold_uncertainty_score":0.009953678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04525479578256403,"score_gpt":0.2788353855208653,"score_spread":0.2335805897383013,"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."}}