{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001562192,0.0003253636,0.0006100234,0.0004960927,0.0006520881,0.0007912958,0.0005200405,0.0004921174,0.001020877],"category_scores_gemma":[0.002043445,0.0001354249,0.0002777724,0.0005855848,0.0007130648,0.00159977,0.001767933,0.0005939793,0.000267109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005017854,"about_ca_system_score_gemma":0.0006514234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001930848,"about_ca_topic_score_gemma":0.00009628339,"domain_scores_codex":[0.9990065,0.0003933697,0.00008020492,0.0001489517,0.0002729935,0.00009818406],"domain_scores_gemma":[0.9988486,0.0002878457,0.0002696808,0.0003613357,0.000149481,0.00008307827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001437115,0.0002342719,0.004200703,0.0002993504,0.0001366812,0.001202159,0.000911643,0.232342,0.139766,0.4384769,0.003203064,0.17779],"study_design_scores_gemma":[0.0001752935,0.000690848,0.0007880813,0.00005155989,0.00007318466,0.0005424085,0.0001635867,0.8272404,0.07202739,0.08334349,0.01484381,0.0000599562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1017461,0.0003414435,0.8936051,0.0002147063,0.0001112175,0.000109667,0.00004152377,0.0005206251,0.003309519],"genre_scores_gemma":[0.9538191,0.0002023099,0.04458768,0.00003853303,0.00004941707,0.00007267518,0.00005044198,0.0000202968,0.001159585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001562192,"threshold_uncertainty_score":0.00826174,"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."}}