{"id":"W4309728390","doi":"10.3390/iot3040024","title":"Living in the Dark: MQTT-Based Exploitation of IoT Security Vulnerabilities in ZigBee Networks for Smart Lighting Control","year":2022,"lang":"en","type":"article","venue":"IoT","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"MQTT; Computer science; Home automation; Computer security; Computer network; Denial-of-service attack; The Internet; Internet of Things; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008604586,0.0003222816,0.000238726,0.0004228334,0.0003933624,0.001061719,0.0006062008,0.0006378477,0.0006382312],"category_scores_gemma":[0.001527207,0.0001307858,0.0002469916,0.0002360852,0.0006894427,0.002173844,0.000771136,0.0007393954,0.0001836696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005153885,"about_ca_system_score_gemma":0.0003066302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005485849,"about_ca_topic_score_gemma":0.0006549659,"domain_scores_codex":[0.9991987,0.0002341392,0.00003348952,0.00006157627,0.0003556121,0.0001165168],"domain_scores_gemma":[0.9991267,0.0003040988,0.0001224676,0.0001925518,0.0002069413,0.00004731383],"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":[0.0009258544,0.0007954179,0.0235639,0.0004859094,0.0002204667,0.00421686,0.002912291,0.06443746,0.4886277,0.08404486,0.008370697,0.3213986],"study_design_scores_gemma":[0.0000508589,0.001057319,0.008220991,0.0001735173,0.0001904427,0.002789448,0.00122714,0.6192513,0.3217209,0.02221506,0.02297665,0.0001263172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7551524,0.002396378,0.2154434,0.002701801,0.0002245174,0.0002822446,0.0000514675,0.002441096,0.02130675],"genre_scores_gemma":[0.9840522,0.0003747026,0.01377002,0.0001764312,0.00001200554,0.00002632725,0.0000175545,0.000022154,0.001548761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001061719,"threshold_uncertainty_score":0.004550576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008517261345961785,"score_gpt":0.2131317647065123,"score_spread":0.2046145033605505,"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."}}