{"id":"W2356589364","doi":"","title":"A Distributed Defending Mechanism Against Routing DoS Attack in Mobile Ad Hoc Networks","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer network; Flooding (psychology); Denial-of-service attack; Mobile ad hoc network; Wireless ad hoc network; Optimized Link State Routing Protocol; Routing protocol; Computer security; Routing (electronic design automation); Network packet; The Internet; Wireless; Telecommunications; World Wide Web","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":[0.001576293,0.0006458939,0.001112931,0.001278205,0.001099385,0.001421417,0.002578653,0.001436253,0.001406845],"category_scores_gemma":[0.002629393,0.0002923161,0.0005843552,0.000575661,0.0008352705,0.002200338,0.001684897,0.000926945,0.0005905936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005357425,"about_ca_system_score_gemma":0.0006491764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003696908,"about_ca_topic_score_gemma":0.000284747,"domain_scores_codex":[0.9990453,0.0002031514,0.0000781782,0.0002337258,0.0003394691,0.0001002444],"domain_scores_gemma":[0.9977036,0.0005314893,0.0003118116,0.0007567061,0.0005216022,0.0001746641],"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":[0.001577759,0.0005762813,0.002220966,0.0006158639,0.0003673317,0.0009927223,0.0007003153,0.07115875,0.2009516,0.1004195,0.008540147,0.6118787],"study_design_scores_gemma":[0.0004832977,0.002347167,0.002073858,0.0001109282,0.0004171465,0.003210485,0.000199338,0.8040278,0.1013532,0.04143322,0.04413189,0.0002115666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05819464,0.001624258,0.9292379,0.0004298797,0.0003028694,0.0002679924,0.00005373335,0.004815289,0.005073425],"genre_scores_gemma":[0.8244215,0.0006214901,0.1666014,0.0003648809,0.0002520087,0.0002656467,0.0001154088,0.0001100581,0.007247602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002578653,"threshold_uncertainty_score":0.008336306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139674681140175,"score_gpt":0.2549893959018554,"score_spread":0.2435926490904536,"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."}}