{"id":"W7133349592","doi":"10.1109/ciot67574.2025.11410148","title":"TULIP: Sharing A Few Secrets to Secure Data Transfers in IoT Infrastructures","year":2025,"lang":"","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Encryption; Confidentiality; Cryptography; Authentication (law); Key (lock); Internet of Things; Public-key cryptography; Data sharing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003344774,0.0009754555,0.001121218,0.00141013,0.002164326,0.003699838,0.00253897,0.001509996,0.003911904],"category_scores_gemma":[0.007620514,0.000600326,0.001268851,0.001459961,0.003047041,0.01090542,0.006825982,0.003391583,0.001997997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249878,"about_ca_system_score_gemma":0.002189074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005456447,"about_ca_topic_score_gemma":0.000416418,"domain_scores_codex":[0.9966881,0.0007756171,0.0003291353,0.0004610552,0.001211934,0.0005342097],"domain_scores_gemma":[0.9949459,0.001426644,0.0006481862,0.002214372,0.0005296682,0.0002351783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000942408,0.0001808265,0.00109027,0.0005626978,0.0001371876,0.001025972,0.001017253,0.03473829,0.03373945,0.7350641,0.008560607,0.1829409],"study_design_scores_gemma":[0.0001888665,0.0008561521,0.0005560912,0.0003640934,0.0002123586,0.002173984,0.0005303451,0.3564374,0.07223615,0.4533587,0.1127988,0.0002870262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01424133,0.0008070588,0.9742025,0.0004015443,0.0002641928,0.0002281343,0.0001262844,0.001305597,0.008423412],"genre_scores_gemma":[0.5447096,0.00160684,0.4399546,0.0006095023,0.0004093287,0.0006671837,0.000528043,0.0004417812,0.01107315],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003911904,"threshold_uncertainty_score":0.01768905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197561666933152,"score_gpt":0.3147416013194316,"score_spread":0.2827659846501001,"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."}}