{"id":"W4401511719","doi":"10.3390/s24165210","title":"IoT Forensics: Current Perspectives and Future Directions","year":2024,"lang":"en","type":"article","venue":"Sensors","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Digital forensics; Network forensics; Computer security; Computer science; Internet of Things; Data science; Field (mathematics); Identification (biology); Cloud computing; Computer forensics; Variety (cybernetics); Digital evidence; Internet privacy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01635094,0.001097556,0.001202237,0.006297059,0.003478847,0.0101387,0.00280291,0.009161542,0.01537667],"category_scores_gemma":[0.02588963,0.0004596694,0.001211833,0.004662108,0.008525604,0.02129982,0.005361557,0.005736863,0.004187385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003990606,"about_ca_system_score_gemma":0.0132523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003214873,"about_ca_topic_score_gemma":0.005117882,"domain_scores_codex":[0.9949569,0.002498553,0.000405259,0.0005230142,0.001146892,0.0004693518],"domain_scores_gemma":[0.9482815,0.03840086,0.001892591,0.001207253,0.008305638,0.001912098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001137066,0.0001972935,0.002387668,0.01315368,0.00004879637,0.000784228,0.00429044,0.001092711,0.000532066,0.1744361,0.0807891,0.7221742],"study_design_scores_gemma":[0.00001748795,0.00009511302,0.001577645,0.03537629,0.00006065537,0.001886357,0.01921803,0.0009677344,0.000534709,0.1921757,0.7479647,0.0001255707],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001350826,0.8653193,0.005137437,0.1117117,0.003449176,0.00005181431,0.0001366692,0.0001198662,0.01272335],"genre_scores_gemma":[0.01966026,0.9504936,0.009680357,0.01282063,0.004496438,0.0001398083,0.0002218723,0.00005374653,0.002433236],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01635094,"threshold_uncertainty_score":0.08647305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00814556354847022,"score_gpt":0.23602974202911,"score_spread":0.2278841784806397,"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."}}