{"id":"W2206769683","doi":"10.1007/978-3-642-36958-2_13","title":"LPKM: A Lightweight Polynomial-Based Key Management Protocol for Distributed Wireless Sensor Networks","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wireless sensor network; Computer science; Computer network; Key management; Key (lock); Key distribution in wireless sensor networks; Overhead (engineering); Node (physics); Distributed computing; Byte; Protocol (science); Secure communication; Scheme (mathematics); Wireless; Wireless network; Computer security; Computer hardware; Engineering; Operating system; 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":[0.0008004713,0.0005318847,0.0006762388,0.0005247711,0.0007658285,0.00133192,0.001607333,0.000609555,0.004550295],"category_scores_gemma":[0.001756913,0.0003116074,0.0003221099,0.0009284667,0.0007051417,0.003225659,0.003003196,0.001954547,0.002386146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000724805,"about_ca_system_score_gemma":0.00114263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004444954,"about_ca_topic_score_gemma":0.0006389719,"domain_scores_codex":[0.9993157,0.0001563193,0.00005950898,0.00008636676,0.0002660758,0.0001158537],"domain_scores_gemma":[0.9993345,0.0001690277,0.00007891419,0.0002576068,0.0001014622,0.00005852125],"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":[0.001335414,0.0002772498,0.000468214,0.001411849,0.0000886593,0.0003114252,0.0004419693,0.04031127,0.07911272,0.1618949,0.05023191,0.6641144],"study_design_scores_gemma":[0.0003662543,0.0007466242,0.001158393,0.0001922874,0.0001687287,0.001323211,0.0002581599,0.5506922,0.08370297,0.1741399,0.1870492,0.0002020377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01197671,0.001416439,0.9737167,0.0004561783,0.000322455,0.0001692631,0.0002341967,0.006394056,0.005314011],"genre_scores_gemma":[0.5764372,0.002516832,0.3890047,0.0006334151,0.0004226764,0.0006818312,0.001247284,0.001134707,0.02792133],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004550295,"threshold_uncertainty_score":0.01522231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018241322605275,"score_gpt":0.2437435068190843,"score_spread":0.2235610935930315,"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."}}