{"id":"W2078409723","doi":"10.1002/wcm.735","title":"Secure timing synchronization for heterogeneous sensor network using pairing over elliptic curve","year":2009,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Synchronization (alternating current); Computer science; Computer network; Pairing; Cryptography; Overhead (engineering); Elliptic curve cryptography; Cryptographic protocol; Protocol (science); Key (lock); Public-key cryptography; Computer security; Distributed computing; Encryption","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004689089,0.0002803637,0.0003480762,0.0001047363,0.001259935,0.000385582,0.00123864,0.0001535167,0.00000226107],"category_scores_gemma":[0.00002291962,0.0003176815,0.0001091188,0.0005021244,0.000102153,0.000302974,0.0006835,0.0003057147,0.000001745214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000116349,"about_ca_system_score_gemma":0.00004842066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000197017,"about_ca_topic_score_gemma":0.00000980502,"domain_scores_codex":[0.9979867,0.0002078408,0.0005208272,0.0005139368,0.0001860757,0.0005845873],"domain_scores_gemma":[0.9970606,0.0006647565,0.0003109122,0.001639681,0.0001984561,0.0001255711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007003986,0.0001412831,0.0009358281,0.00005893278,0.00005254448,0.000004712316,0.002429917,0.6274511,0.0006823331,0.01833423,0.00007390489,0.3498282],"study_design_scores_gemma":[0.0003289685,0.00009889439,0.000159787,0.0002468811,0.00002459333,0.00006733896,0.0000726857,0.9962838,0.000103984,0.0007868191,0.001473975,0.0003522519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2597396,0.003569142,0.7353945,0.0001668948,0.0002023356,0.000588606,0.000002857083,0.0002807985,0.00005518807],"genre_scores_gemma":[0.811577,0.0003862714,0.1874573,0.0002674947,0.0002387881,0.0000183132,0.00002254123,0.00002602384,0.000006227459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5518374,"threshold_uncertainty_score":0.9999275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03055096203900605,"score_gpt":0.2924912193386208,"score_spread":0.2619402572996147,"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."}}