{"id":"W4405794967","doi":"10.12928/telkomnika.v23i1.25857","title":"Swarm intelligence for intrusion detection systems in internet of things environments","year":2024,"lang":"en","type":"article","venue":"TELKOMNIKA (Telecommunication Computing Electronics and Control)","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Islam Riau","keywords":"Internet of Things; Intrusion detection system; Computer science; Swarm intelligence; Swarm behaviour; The Internet; Intrusion; Computer security; Artificial intelligence; World Wide Web; Machine learning; Particle swarm optimization; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001272846,0.0001728424,0.0002703839,0.0002663325,0.0001366942,0.000218203,0.0006760222,0.0001282916,0.000001647113],"category_scores_gemma":[0.00005026541,0.0001737241,0.0000745739,0.0004184833,0.00005093617,0.0004290705,0.0002491819,0.0004117783,0.000003821359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001739676,"about_ca_system_score_gemma":0.00004756871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001714062,"about_ca_topic_score_gemma":0.00004617477,"domain_scores_codex":[0.9983113,0.0001848261,0.0006016291,0.0004043192,0.0001768536,0.0003211131],"domain_scores_gemma":[0.9986711,0.0005495577,0.0001953603,0.0004856104,0.00005044482,0.00004799263],"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":[0.00005750113,0.0000831315,0.00002438445,0.0001075596,0.00004732821,7.554416e-7,0.001332393,0.003189823,0.01116581,0.1032913,0.00002281453,0.8806772],"study_design_scores_gemma":[0.0003053625,0.0003165576,0.00009483857,0.0001615536,0.00001176086,0.00001962081,0.00002532416,0.9666242,0.01223101,0.006982105,0.01306527,0.0001624056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06181975,0.01306306,0.9237496,0.0003189804,0.0003700569,0.0004764413,6.231795e-7,0.0001261151,0.00007534867],"genre_scores_gemma":[0.9941337,0.001975222,0.003647365,0.000107873,0.00004818662,0.00003815514,0.000005348871,0.00001592547,0.000028199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9634343,"threshold_uncertainty_score":0.7084261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009726242668192943,"score_gpt":0.2364912110619449,"score_spread":0.226764968393752,"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."}}