{"id":"W2017982663","doi":"10.1016/j.jpdc.2010.03.009","title":"Private key agreement and secure communication for heterogeneous sensor networks","year":2010,"lang":"en","type":"article","venue":"Journal of Parallel and Distributed Computing","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Computer science; Key management; Key (lock); Computer network; Key space; Computer security; Public-key cryptography; Encryption; Protocol (science); Node (physics); Key distribution; Wireless sensor network; Cryptography; Symmetric-key algorithm; Key-agreement protocol; Elliptic curve cryptography","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":[],"consensus_categories":[],"category_scores_codex":[0.000584668,0.0001647767,0.0002905271,0.00005792516,0.0002947976,0.0002730725,0.0005133917,0.000125219,0.000001560569],"category_scores_gemma":[0.0000701927,0.0001461973,0.00008373503,0.000129388,0.00007782899,0.0001883354,0.0003026208,0.0004793937,3.698751e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001867556,"about_ca_system_score_gemma":0.00002000412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003881551,"about_ca_topic_score_gemma":0.000008716466,"domain_scores_codex":[0.998723,0.00008190459,0.0005134833,0.0001978571,0.0001857688,0.0002980228],"domain_scores_gemma":[0.9983224,0.0003872187,0.0005509765,0.0003197589,0.0002396163,0.0001800145],"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":[0.0002909751,0.0004472859,0.01824526,0.0001742939,0.0005218991,0.0001537561,0.003678012,0.7822843,0.001886739,0.08718082,0.002862817,0.1022738],"study_design_scores_gemma":[0.001109954,0.0001593037,0.003555789,0.00007439002,0.0000263149,0.0007214984,0.00005178259,0.9884292,0.00005712908,0.002866889,0.002751542,0.0001962364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3748927,0.0007928156,0.6232337,0.0006858132,0.0002471373,0.0001140103,0.000004242972,0.00002012489,0.000009447082],"genre_scores_gemma":[0.8567473,0.0001716543,0.1426888,0.0001392262,0.0002323282,0.000001158809,0.00001078371,0.000007113658,0.000001716294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4818546,"threshold_uncertainty_score":0.5961751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095677645040634,"score_gpt":0.2451478531103873,"score_spread":0.234191076659981,"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."}}