{"id":"W2043561532","doi":"10.1016/j.jnca.2012.12.013","title":"A multipath routing strategy to prevent flooding disruption attacks in link state routing protocols for MANETs","year":2013,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Optimized Link State Routing Protocol; Flooding (psychology); Link-state routing protocol; Multipath routing; Distributed computing; Routing protocol; Destination-Sequenced Distance Vector routing; Wireless ad hoc network; Dynamic Source Routing; Routing (electronic design automation); Wireless; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007272137,0.0001687318,0.0002886831,0.00009512884,0.0001807928,0.0004118503,0.0005631729,0.00006182017,0.000001916382],"category_scores_gemma":[0.000005541705,0.0001536469,0.00007928453,0.0004061821,0.00001473421,0.0004786903,0.0002339161,0.0002633506,0.000005327091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006873509,"about_ca_system_score_gemma":0.00005680006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001050184,"about_ca_topic_score_gemma":0.00001397397,"domain_scores_codex":[0.9982089,0.00008133377,0.0007865516,0.0003177311,0.0001854723,0.0004199891],"domain_scores_gemma":[0.9986082,0.0002183328,0.0004689763,0.0002994956,0.0002069889,0.0001979771],"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":[0.000009155466,0.0001126375,0.001478545,0.00002635199,0.00002175692,0.00000272486,0.0005458775,0.3086679,0.00005940603,0.004718734,0.0007538871,0.683603],"study_design_scores_gemma":[0.0005283255,0.0003562915,0.01127913,0.0003041379,0.000007093503,0.00004617777,0.00001686193,0.9787062,0.00001834361,0.006035156,0.002515513,0.0001868141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02205405,0.00006137287,0.9680177,0.0004389974,0.00008294624,0.009283548,9.400072e-7,0.00003202451,0.0000284509],"genre_scores_gemma":[0.7259834,0.00001714761,0.2652931,0.0002385293,0.001321513,0.007102726,0.000002168912,0.00001698263,0.00002451084],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7039293,"threshold_uncertainty_score":0.6265538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341678997847839,"score_gpt":0.3029996305728351,"score_spread":0.2795828405943567,"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."}}