{"id":"W4410560128","doi":"10.18280/isi.300402","title":"Efficient Lightweight Cryptographic Framework for Securing Medical Images in IoT Systems","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Sfax; Mustansiriyah University","keywords":"Computer science; Cryptography; Internet of Things; Computer security; Cryptographic primitive; Cryptographic protocol","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001324614,0.0002327303,0.0003033018,0.001008501,0.0002537119,0.0005667837,0.0007645759,0.0002547871,0.000009563698],"category_scores_gemma":[0.0009999387,0.0002237663,0.000116598,0.001602473,0.0001154977,0.0007806711,0.000193282,0.0003034755,0.00003427303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004062623,"about_ca_system_score_gemma":0.0002716808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007388228,"about_ca_topic_score_gemma":0.000005442749,"domain_scores_codex":[0.9976507,0.0001061478,0.0009139017,0.0002708638,0.0005940594,0.0004643023],"domain_scores_gemma":[0.9983703,0.0004837995,0.000281275,0.0004508033,0.000296965,0.0001168474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007713554,0.000132992,0.001019819,0.002264933,0.00005551451,0.00001273847,0.005650348,0.03223041,0.0004884539,0.9071075,0.0009162343,0.05004387],"study_design_scores_gemma":[0.001018411,0.0000973033,0.002945364,0.002715516,0.00001335381,0.00002459564,0.0003772519,0.9450575,0.002625854,0.04273225,0.001994142,0.0003984315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07063513,0.0004849012,0.9247422,0.0003742887,0.001163862,0.0007387305,0.00000840722,0.00030849,0.001544051],"genre_scores_gemma":[0.960851,0.00001568047,0.03835136,0.0003632052,0.00008185126,0.000297243,0.00001493154,0.000009374566,0.00001541079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9128271,"threshold_uncertainty_score":0.9124923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008362082219274052,"score_gpt":0.2489704353715942,"score_spread":0.2406083531523201,"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."}}