{"id":"W4416208909","doi":"10.3390/s25226967","title":"A Survey on Privacy Preservation Techniques in IoT Systems","year":2025,"lang":"en","type":"article","venue":"Sensors","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Internet of Things; Differential privacy; Homomorphic encryption; Encryption; Cryptography; Data exchange; Information privacy; Blockchain","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":[0.002560614,0.001043136,0.001048564,0.002777954,0.0009263217,0.003017427,0.001377859,0.001379625,0.005348271],"category_scores_gemma":[0.006183248,0.0006370944,0.001152419,0.005290598,0.00088197,0.006965929,0.001473174,0.001738569,0.001615234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009554469,"about_ca_system_score_gemma":0.001613316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009443995,"about_ca_topic_score_gemma":0.0006507467,"domain_scores_codex":[0.9967875,0.0007601039,0.0004010201,0.0003902772,0.001417346,0.0002437307],"domain_scores_gemma":[0.9956021,0.003034226,0.0002372276,0.0004851064,0.0005840517,0.00005719213],"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":[0.00010647,0.0001090961,0.002196737,0.01057188,0.0001168553,0.0003114223,0.000579951,0.008078569,0.002356329,0.1097864,0.02227661,0.8435096],"study_design_scores_gemma":[0.00002457788,0.0003725213,0.00304713,0.00655985,0.0002018932,0.002665218,0.0007465957,0.02136764,0.005260319,0.07643656,0.8832099,0.0001078545],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01034751,0.732733,0.1763707,0.00442199,0.001101071,0.0004062398,0.0007281934,0.0005909802,0.07330039],"genre_scores_gemma":[0.1000873,0.82536,0.06119367,0.00202738,0.001716358,0.0004011744,0.001264833,0.0001673482,0.007782011],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005348271,"threshold_uncertainty_score":0.01789171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03409045773064262,"score_gpt":0.2884056347665483,"score_spread":0.2543151770359057,"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."}}