{"id":"W4382119196","doi":"10.1109/jiot.2023.3289754","title":"Security Weaknesses in IoT Management Platforms","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer security; Internet of Things; Authentication (law); Key (lock); Set (abstract data type); World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006420013,0.0001146057,0.0001718477,0.0005862419,0.00003507881,0.0000971835,0.001048585,0.00005398446,0.00001725532],"category_scores_gemma":[0.00003602691,0.000101311,0.00008140989,0.0005739136,0.00003358055,0.0008258113,0.0002783485,0.0003864137,0.00003355413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009646312,"about_ca_system_score_gemma":0.00001564746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002712952,"about_ca_topic_score_gemma":0.00000563661,"domain_scores_codex":[0.9987777,0.00001810895,0.0004106962,0.0001971098,0.0003464116,0.0002500034],"domain_scores_gemma":[0.9993322,0.00004925427,0.0002462702,0.000234837,0.00007576436,0.00006163161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003704238,0.0008281212,0.006039674,0.0009544081,0.0005049394,0.005807709,0.04096423,0.006402959,0.02162858,0.132115,0.08370413,0.7006798],"study_design_scores_gemma":[0.0009518606,0.0004085192,0.002105217,0.0008498759,0.000009520658,0.0009442936,0.0004338159,0.05688855,0.385095,0.5426717,0.009140551,0.0005011278],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2984107,0.00003472703,0.6979317,0.0002645105,0.001206995,0.0001074713,4.027674e-7,0.0003841331,0.001659393],"genre_scores_gemma":[0.9721359,0.0001011908,0.02705956,0.0001468892,0.00004946131,0.000007838977,1.868027e-7,0.0000102361,0.0004887437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7001787,"threshold_uncertainty_score":0.4131342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276711888016011,"score_gpt":0.2692976273214977,"score_spread":0.2565305084413376,"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."}}