{"id":"W2110566685","doi":"10.1016/j.adhoc.2006.05.007","title":"Self-healing group key distribution with time-limited node revocation for wireless sensor networks","year":2006,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Computer network; Keying; Computer science; Node (physics); Forward secrecy; Overhead (engineering); Group key; Wireless sensor network; Encryption; Authentication (law); Distributed computing; Public-key cryptography; Computer security; Engineering; Telecommunications","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":[0.0006958412,0.0005619347,0.0005708033,0.0001029181,0.0006215236,0.0004569933,0.000985834,0.0005311887,0.000006125851],"category_scores_gemma":[0.0000205894,0.00055007,0.0001895404,0.001279092,0.0001158154,0.0006693302,0.0001859863,0.0006191157,0.00002487033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003276934,"about_ca_system_score_gemma":0.00005661386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004065336,"about_ca_topic_score_gemma":0.0001022469,"domain_scores_codex":[0.9960716,0.0002380989,0.0007483941,0.001130082,0.0005110974,0.001300691],"domain_scores_gemma":[0.9968935,0.0007395482,0.0005087471,0.001215542,0.0004233331,0.0002193093],"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":[0.0002315268,0.0003375045,0.0007215246,0.00007162769,0.0001198104,0.00003116454,0.0001951138,0.9386092,0.00005611348,0.01834641,0.01290422,0.0283758],"study_design_scores_gemma":[0.001255598,0.00022208,0.001073367,0.0001771024,0.00007888631,0.00005369345,0.00001693192,0.9819733,0.00005051202,0.0003786403,0.01401583,0.0007040484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02057672,0.002610475,0.9725637,0.0007030981,0.0007848787,0.001215663,0.00001987048,0.00129279,0.000232837],"genre_scores_gemma":[0.8805179,0.0007653329,0.1132224,0.0006356459,0.002348768,0.0002571928,0.00195761,0.000129902,0.0001652366],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8599412,"threshold_uncertainty_score":0.9996951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006280264767130297,"score_gpt":0.2051067343236865,"score_spread":0.1988264695565561,"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."}}