{"id":"W2168911585","doi":"10.1109/ntms.2008.ecp.14","title":"A Simple and Efficient Detection of Wormhole Attacks","year":2008,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Wormhole; Computer science; Mobile ad hoc network; Global Positioning System; Simple (philosophy); Computer network; Routing protocol; Synchronization (alternating current); Optimized Link State Routing Protocol; Node (physics); Protocol (science); Routing (electronic design automation); Wireless ad hoc network; Distributed computing; Wireless; Telecommunications; Engineering","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":[0.0007553484,0.0007995874,0.001504327,0.002179537,0.0004556339,0.0009369928,0.001532844,0.001569459,0.001308162],"category_scores_gemma":[0.004353256,0.0005711306,0.0004677414,0.001009995,0.0005025149,0.002293854,0.001730104,0.0008164937,0.001177847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002120935,"about_ca_system_score_gemma":0.0003836191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003068928,"about_ca_topic_score_gemma":0.0002791564,"domain_scores_codex":[0.9972292,0.000441196,0.0001769117,0.0003678553,0.001609628,0.0001752902],"domain_scores_gemma":[0.9969765,0.0006107657,0.0005213622,0.0008417409,0.0009254419,0.0001241635],"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":[0.0004587668,0.0003203904,0.003892937,0.0004213323,0.0001265173,0.0007814994,0.0001743079,0.01436192,0.3398046,0.00948758,0.005657297,0.6245129],"study_design_scores_gemma":[0.0002806306,0.001803983,0.008859497,0.00009489134,0.000256054,0.006764894,0.0001690786,0.4876848,0.4526416,0.008341755,0.03281553,0.0002871703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08203943,0.001515432,0.9027208,0.0002926391,0.0002373644,0.0003839346,0.0001694016,0.007676517,0.004964521],"genre_scores_gemma":[0.6199244,0.0009674261,0.3720868,0.0001849286,0.0001291576,0.0002222835,0.0004607328,0.0001544115,0.005869757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002179537,"threshold_uncertainty_score":0.004376292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011977581602405,"score_gpt":0.2232924202902413,"score_spread":0.2113148386878363,"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."}}