{"id":"W4200027215","doi":"10.18280/isi.260605","title":"Detection of Black Hole Attack Using Honeypot Agent-Based Scheme with Deep Learning Technique on MANET","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Honeypot; Roaming; Packet drop attack; Network packet; Mobile ad hoc network; Intrusion detection system; Computer network; Packet forwarding; Black hole (networking); Computer security; Throughput; Routing protocol; Link-state routing protocol; Wireless; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004077375,0.000427022,0.0005361839,0.0004793666,0.0002333794,0.0003576076,0.000665051,0.0004079282,0.0003972633],"category_scores_gemma":[0.0009474994,0.0001405771,0.0002972885,0.0003044231,0.0002586172,0.000588742,0.0004497755,0.0004979731,0.00005944911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003662584,"about_ca_system_score_gemma":0.000336072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002545824,"about_ca_topic_score_gemma":0.002356976,"domain_scores_codex":[0.9997906,0.00006344094,0.00001481013,0.00003391416,0.00005436295,0.00004290161],"domain_scores_gemma":[0.9996618,0.0001535472,0.00005088049,0.00002557671,0.00008821031,0.00001999529],"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":[0.0002456574,0.0002009157,0.004347309,0.00008322788,0.0001099459,0.000283331,0.00008857247,0.7974212,0.00884767,0.003002479,0.00111463,0.1842551],"study_design_scores_gemma":[0.000001668693,0.00004545923,0.0002335993,0.000001560374,0.00000365611,0.00001450068,0.000005111662,0.9986418,0.0007450633,0.0002543143,0.00005102226,0.000002250482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4299199,0.001021126,0.5628513,0.0005627804,0.0001258709,0.0001060369,0.00006208842,0.0009464849,0.004404484],"genre_scores_gemma":[0.9719757,0.0002035036,0.0266181,0.00005838506,0.00001277256,0.00003217394,0.00004185952,0.000006754753,0.001050757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002545824,"threshold_uncertainty_score":0.005062044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01761731611816625,"score_gpt":0.2318882190334843,"score_spread":0.2142709029153181,"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."}}