{"id":"W1988598963","doi":"10.1016/j.comcom.2007.02.014","title":"DREAM: A system for detection and reaction against MAC layer misbehavior in ad hoc networks","year":2007,"lang":"en","type":"article","venue":"Computer Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Timeout; Computer science; Computer network; Network packet; Node (physics); Transmission (telecommunications); Protocol (science); Intrusion detection system; Wireless ad hoc network; Process (computing); Channel (broadcasting); Computer security; 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":[0.003927662,0.001336451,0.001530029,0.00228364,0.0006526625,0.001418944,0.002944089,0.001409882,0.003798643],"category_scores_gemma":[0.01056053,0.0007910357,0.0003524934,0.0004584267,0.0006411187,0.00257259,0.002330915,0.001279402,0.001942455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005730396,"about_ca_system_score_gemma":0.001196335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001408086,"about_ca_topic_score_gemma":0.001445154,"domain_scores_codex":[0.9973271,0.0008192306,0.0003463948,0.0004370626,0.0009013853,0.0001687703],"domain_scores_gemma":[0.99229,0.00279561,0.0009163533,0.00199154,0.001310145,0.000696273],"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":[0.009042959,0.001753189,0.03881921,0.001167512,0.000858026,0.001193578,0.00127511,0.03638085,0.06588661,0.00858211,0.07968614,0.7553547],"study_design_scores_gemma":[0.0007366735,0.001536087,0.006081685,0.00008171004,0.0003658537,0.0008452965,0.0002389568,0.9125714,0.05171119,0.007070615,0.01854233,0.0002182309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1145886,0.001071483,0.5363153,0.00070332,0.0008516806,0.001321074,0.001820287,0.3366958,0.006632554],"genre_scores_gemma":[0.7750257,0.0003659783,0.206883,0.0007960623,0.0002281248,0.0006827142,0.002352208,0.001677766,0.01198843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003927662,"threshold_uncertainty_score":0.02077174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02970893091961751,"score_gpt":0.2769009724109808,"score_spread":0.2471920414913633,"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."}}