{"id":"W4285637589","doi":"10.1504/ijics.2022.122374","title":"A data-owner centric privacy model with blockchain and adapted attribute-based encryption for internet-of-things and cloud environment","year":2022,"lang":"en","type":"article","venue":"International Journal of Information and Computer Security","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Computer security; Cloud computing; Blockchain; Encryption; The Internet; Service provider; Internet privacy; Information privacy; Access control; Internet of Things; World Wide Web; Service (business); Business","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":[0.002583055,0.000479244,0.0007935015,0.0005814102,0.001339549,0.002616133,0.00209878,0.001881061,0.003769505],"category_scores_gemma":[0.003347276,0.0003403422,0.001065697,0.001163761,0.001883643,0.006434559,0.002352585,0.001913414,0.0007477653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00170972,"about_ca_system_score_gemma":0.002891845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002881373,"about_ca_topic_score_gemma":0.002690511,"domain_scores_codex":[0.997058,0.001026339,0.0002083069,0.0005098521,0.0007911887,0.0004061888],"domain_scores_gemma":[0.9976032,0.0008420194,0.0003282502,0.0006328436,0.000401529,0.0001922659],"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":[0.0002126182,0.0001366796,0.001007559,0.0001447079,0.00004803712,0.0009403341,0.0004338851,0.1653767,0.004837876,0.8049448,0.002593778,0.01932305],"study_design_scores_gemma":[0.0000668351,0.0001101223,0.0002318993,0.00003910324,0.0000330353,0.0004260114,0.00009240024,0.7592857,0.001915159,0.2281095,0.009641042,0.00004919879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02672584,0.0003488398,0.9577941,0.001329771,0.0001259835,0.0002282099,0.0002608932,0.0001405668,0.01304571],"genre_scores_gemma":[0.8987577,0.0007398642,0.08680109,0.0001844658,0.0001148135,0.000296613,0.0002350539,0.00003925834,0.01283108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003769505,"threshold_uncertainty_score":0.01366067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02258658741755972,"score_gpt":0.2419874780504263,"score_spread":0.2194008906328666,"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."}}