{"id":"W3081218576","doi":"10.1109/jsyst.2020.3015424","title":"A Secure and Lightweight Protocol for Message Authentication in Wireless Sensor Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Authentication (law); Message authentication code; Wireless sensor network; Overhead (engineering); Authentication protocol; Key distribution in wireless sensor networks; Node (physics); Wireless; Wireless network; Computer security; Cryptography; Engineering","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":[0.00306664,0.001034077,0.001174915,0.001214168,0.002667375,0.002180258,0.002034192,0.00237916,0.00200936],"category_scores_gemma":[0.005669379,0.0007796859,0.001058781,0.00147982,0.00249618,0.005600718,0.004527193,0.003687799,0.00155262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163399,"about_ca_system_score_gemma":0.002830392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004569288,"about_ca_topic_score_gemma":0.0005437085,"domain_scores_codex":[0.9950777,0.001306459,0.0005512186,0.0004972826,0.002295496,0.0002718784],"domain_scores_gemma":[0.9967073,0.0008913195,0.0006476534,0.0009292587,0.0006219221,0.0002025663],"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":[0.0006208554,0.0003830827,0.001066924,0.001339039,0.0002093604,0.002428696,0.00165045,0.02942382,0.09727512,0.6416191,0.01550873,0.2084748],"study_design_scores_gemma":[0.0003589359,0.001690497,0.000959415,0.0004227774,0.0003155803,0.004240119,0.000394229,0.5063409,0.07997942,0.2401782,0.1646903,0.0004297285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008439033,0.001010094,0.9844027,0.0007502854,0.0004713232,0.0006384326,0.00009693413,0.001286421,0.00290482],"genre_scores_gemma":[0.4281219,0.002231644,0.5488324,0.0009231942,0.0006766353,0.002528357,0.0006875779,0.0002645059,0.01573388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00306664,"threshold_uncertainty_score":0.01621819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960678820082361,"score_gpt":0.2788258283006992,"score_spread":0.2492190400998756,"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."}}