{"id":"W2937199800","doi":"10.1145/3309074.3309081","title":"Lightweight authentication for MQTT to improve the security of IoT communication","year":2019,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"Division of Electrical, Communications and Cyber Systems; Public Safety Canada; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"MQTT; Computer science; Message queue; Computer network; Authentication protocol; Authentication (law); Message authentication code; Key (lock); Protocol (science); Computer security; Internet of Things; Cryptography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001103551,0.0004742893,0.0004844342,0.0006894713,0.0007827944,0.001125978,0.0008520416,0.0009311833,0.002964759],"category_scores_gemma":[0.002830241,0.0001692416,0.0005351153,0.0005971261,0.0006745671,0.002612656,0.001598453,0.001238854,0.001124499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006105856,"about_ca_system_score_gemma":0.000819084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005403182,"about_ca_topic_score_gemma":0.0003802887,"domain_scores_codex":[0.9988398,0.0002736645,0.0001193512,0.0001307976,0.0005102715,0.0001262122],"domain_scores_gemma":[0.9983941,0.000345212,0.0001843887,0.0004545045,0.0005615465,0.00006029633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001008542,0.000219297,0.004182615,0.0007793486,0.000127964,0.001197286,0.0008511188,0.01668413,0.5583353,0.1728037,0.007467084,0.2363436],"study_design_scores_gemma":[0.000208446,0.001636314,0.003929713,0.0002217758,0.0002912345,0.003132343,0.0003258379,0.4977231,0.3207406,0.07631294,0.09525224,0.0002252926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05660122,0.001532279,0.9292073,0.0008498757,0.0005019606,0.000284874,0.0000599363,0.002173042,0.008789501],"genre_scores_gemma":[0.8862171,0.0007926497,0.1034082,0.0003737444,0.0003040066,0.0001604107,0.0001234379,0.0001301356,0.008490285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002964759,"threshold_uncertainty_score":0.009918153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007089981486044667,"score_gpt":0.2430784476994741,"score_spread":0.2359884662134294,"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."}}