{"id":"W4414028352","doi":"10.18280/ijsse.150719","title":"Multi-Encoding Distributed Steganography (MEDS): A High-Security and Fault-Tolerant Framework for Secure Data Hiding in Multi-Cloud Environment","year":2025,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Cloud computing; Computer security; Steganography; Encoding (memory); Fault tolerance; Distributed computing; Embedding; Artificial intelligence; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005742917,0.000438641,0.0006799177,0.0004250916,0.0005970334,0.0007942712,0.001283614,0.0005428691,0.001007873],"category_scores_gemma":[0.0005376334,0.000195113,0.0004273853,0.0003224965,0.0007882385,0.00121589,0.001634954,0.00101159,0.0002649482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007051061,"about_ca_system_score_gemma":0.0008085924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001138513,"about_ca_topic_score_gemma":0.002271056,"domain_scores_codex":[0.9995089,0.00007993134,0.00002472061,0.00008810729,0.0002026753,0.00009571164],"domain_scores_gemma":[0.9996061,0.00007229669,0.00004911473,0.0001433276,0.00008777199,0.00004140247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009820285,0.0003574028,0.001689795,0.000369241,0.0001542693,0.0007643551,0.0003632984,0.1999997,0.2698317,0.2073911,0.00767388,0.3104233],"study_design_scores_gemma":[0.00003610953,0.0001569935,0.0003188483,0.00001727352,0.0000293213,0.0003013799,0.0000386569,0.9035975,0.0677973,0.02103846,0.006634108,0.00003408221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02585087,0.0003890784,0.9702864,0.0001849433,0.00007721025,0.00005973439,0.00004895978,0.00159018,0.001512639],"genre_scores_gemma":[0.725675,0.0002956739,0.2693589,0.0001302855,0.00006597208,0.00004981193,0.00009760833,0.000125529,0.004201174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001283614,"threshold_uncertainty_score":0.005115926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607792076832543,"score_gpt":0.2708130108186554,"score_spread":0.25473509005033,"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."}}