{"id":"W4378619208","doi":"10.3390/math11112481","title":"Securing IoT Devices Running PureOS from Ransomware Attacks: Leveraging Hybrid Machine Learning Techniques","year":2023,"lang":"en","type":"article","venue":"Mathematics","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bishop's University","funders":"Deanship of Scientific Research, Prince Sattam bin Abdulaziz University; Prince Sattam bin Abdulaziz University","keywords":"Ransomware; Computer science; Internet of Things; Computer security; Embedded system; The Internet; Malware; Artificial intelligence; Machine learning; Operating system","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":[0.001488477,0.001091189,0.0008145918,0.002509679,0.0005291041,0.0009557414,0.00101729,0.0009627911,0.0006150157],"category_scores_gemma":[0.003519872,0.0003279727,0.0006084882,0.0007336558,0.000761586,0.002448974,0.001110035,0.0009531893,0.0006024244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004217049,"about_ca_system_score_gemma":0.0005002409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001065573,"about_ca_topic_score_gemma":0.001876409,"domain_scores_codex":[0.9987485,0.0003178241,0.00007932777,0.0001875116,0.0005263503,0.0001404059],"domain_scores_gemma":[0.9978347,0.0006927619,0.0006203604,0.0003158032,0.0004513377,0.00008504989],"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":[0.000290463,0.0006652417,0.01811222,0.0001470256,0.0002073455,0.0003544654,0.0002062883,0.1935486,0.03090575,0.005666587,0.0022922,0.7476038],"study_design_scores_gemma":[0.000005577529,0.0001272448,0.001842699,0.00001982366,0.00001499414,0.0002091931,0.00005022822,0.9856144,0.009663166,0.001704391,0.0007321491,0.00001609789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1679331,0.0007964585,0.8244895,0.0004619463,0.000124122,0.0001638539,0.00004873073,0.002256618,0.003725617],"genre_scores_gemma":[0.7757087,0.0003279269,0.2214582,0.0002325634,0.00007527105,0.00005930425,0.0001199861,0.00007019441,0.001947708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002509679,"threshold_uncertainty_score":0.007871926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184822740786057,"score_gpt":0.2661636590108526,"score_spread":0.244315431602992,"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."}}