{"id":"W4404064052","doi":"10.3390/iot5040033","title":"An Innovative Honeypot Architecture for Detecting and Mitigating Hardware Trojans in IoT Devices","year":2024,"lang":"en","type":"article","venue":"IoT","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Honeypot; Internet of Things; Embedded system; Architecture; Computer science; Computer hardware; Operating system; Computer security; Art","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":[0.0003081115,0.0005289803,0.0004118989,0.000658645,0.0004186157,0.0005295915,0.001193213,0.0006593419,0.001422532],"category_scores_gemma":[0.0006421632,0.0002201262,0.0002755866,0.0001929755,0.0003866277,0.00146513,0.0007892317,0.0005093975,0.0003456894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002409369,"about_ca_system_score_gemma":0.0002598698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001607408,"about_ca_topic_score_gemma":0.0003115064,"domain_scores_codex":[0.9996406,0.00006330826,0.0000356307,0.00007997428,0.0001169438,0.00006364727],"domain_scores_gemma":[0.9994763,0.00008316617,0.0001024975,0.0001477338,0.0001385362,0.00005186697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007442046,0.0004970369,0.005671756,0.0004363732,0.0001926753,0.001173604,0.0004065952,0.01679589,0.6846079,0.009934417,0.006165532,0.273374],"study_design_scores_gemma":[0.000163434,0.004127595,0.008633252,0.00009530537,0.0002734421,0.003149875,0.0001695349,0.4188982,0.5275495,0.006594522,0.03020443,0.0001409244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4671455,0.001252146,0.5094938,0.0006384102,0.0005090029,0.0004794787,0.0001492774,0.01094378,0.009388545],"genre_scores_gemma":[0.9543915,0.0001549019,0.0425438,0.0001894227,0.00003894837,0.0001051646,0.00006680164,0.00005154185,0.002457887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001422532,"threshold_uncertainty_score":0.004758835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500267832119552,"score_gpt":0.2728957039927088,"score_spread":0.2578930256715133,"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."}}