{"id":"W4307551212","doi":"10.3390/electronics11213480","title":"EBR: Routing Protocol to Detect Blackhole Attacks in Mobile Ad Hoc Networks","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer network; Computer science; Packet drop attack; Mobile ad hoc network; Network packet; Routing protocol; End-to-end delay; Optimized Link State Routing Protocol; Wireless ad hoc network; Throughput; Overhead (engineering); Computer security; Link-state routing protocol; Wireless; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001103816,0.0002574463,0.0002840021,0.0001499946,0.0003311377,0.0001575925,0.001784757,0.00008497058,0.000101462],"category_scores_gemma":[0.00002268206,0.0002934306,0.00009612798,0.001748222,0.00001870021,0.000234151,0.001389854,0.001148098,0.00004524552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008818049,"about_ca_system_score_gemma":0.0003182848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002539745,"about_ca_topic_score_gemma":0.0002389782,"domain_scores_codex":[0.9966974,0.0002877156,0.0004462187,0.0007902086,0.0004853663,0.001293038],"domain_scores_gemma":[0.9985273,0.0001218196,0.0001449004,0.00100704,0.00004220911,0.0001567202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000051491,0.00008446483,0.0002169953,0.00000709539,0.000009731197,0.00003812345,0.0004676425,0.4360294,0.0001488184,0.001250044,0.005573884,0.5561224],"study_design_scores_gemma":[0.000609753,0.00108868,0.0001182882,0.00001364281,0.000002540304,0.00002542362,0.00002164757,0.2813762,0.0003354693,0.0006602538,0.7154051,0.000342933],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.03196571,0.02209066,0.754201,0.0008504064,0.0009948101,0.1856475,0.000005195196,0.001378393,0.002866315],"genre_scores_gemma":[0.2927597,0.0002881471,0.0177695,0.003363608,0.0003976203,0.6839073,0.00001166957,0.0001460957,0.001356316],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.7364315,"threshold_uncertainty_score":0.9999518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008149998371202205,"score_gpt":0.2609300830715267,"score_spread":0.2527800847003245,"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."}}