{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001973899,0.001069903,0.001087361,0.001717642,0.0007712914,0.001011485,0.001983756,0.001669764,0.001705422],"category_scores_gemma":[0.004580064,0.0003799235,0.0005843471,0.0009217484,0.0007754018,0.003146877,0.00155539,0.00144199,0.001053943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003900176,"about_ca_system_score_gemma":0.0008450776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003848605,"about_ca_topic_score_gemma":0.000352044,"domain_scores_codex":[0.9980567,0.0005993287,0.0002327861,0.0002351311,0.0007019737,0.0001739614],"domain_scores_gemma":[0.9977584,0.000733896,0.0004065096,0.0004493204,0.0005610193,0.00009081971],"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":[0.001473127,0.0007200463,0.003721149,0.002724578,0.000685177,0.003383337,0.001133964,0.1261213,0.168387,0.1009443,0.03545892,0.5552471],"study_design_scores_gemma":[0.0007124643,0.002315029,0.001847672,0.0003966605,0.0003895132,0.005191612,0.0003256991,0.7395339,0.1121472,0.04057416,0.09619705,0.0003690394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02734379,0.002838629,0.950742,0.0006505108,0.0006584613,0.001208617,0.0002573079,0.008904874,0.00739585],"genre_scores_gemma":[0.5266631,0.002695742,0.4564962,0.000973849,0.0003183016,0.001956814,0.001140681,0.0005493541,0.009205972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001983756,"threshold_uncertainty_score":0.0104391,"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."}}