{"id":"W4390485373","doi":"10.1109/icscna58489.2023.10370154","title":"SafeDroid: Safeguarding Android Mobile Phones from Adware and Banking Maldroid Attacks","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Android (operating system); Malware; Computer security; Computer science; Mobile malware; Mobile device; Cryptovirology; Hacker; Internet privacy; Mobile banking; World Wide Web; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002331628,0.000212461,0.0002431407,0.0002675399,0.0002649831,0.00019689,0.0005341177,0.00009983502,0.0001159026],"category_scores_gemma":[0.00004651313,0.0002083036,0.00006428878,0.0008126738,0.00005129573,0.0009037489,0.000696041,0.0001796907,0.0001632385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005506147,"about_ca_system_score_gemma":0.00002305406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009286532,"about_ca_topic_score_gemma":0.00002828335,"domain_scores_codex":[0.9983364,0.00004529595,0.0002747466,0.0006800065,0.0002805987,0.0003829343],"domain_scores_gemma":[0.998889,0.0002362047,0.00008823154,0.0006095003,0.00006652908,0.0001105905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004221252,0.00006980237,0.00547057,0.00007822821,0.00009663228,0.0003260298,0.003418304,0.001087024,0.09293426,0.01048128,0.01335836,0.8726373],"study_design_scores_gemma":[0.001623684,0.0006018262,0.0139085,0.0002577431,0.00003047406,0.0002566386,0.001546425,0.09864704,0.6477666,0.1413078,0.0918018,0.002251486],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1346407,0.0003054195,0.8571668,0.0002853939,0.0003811354,0.0003254749,0.0000136509,0.00466553,0.002215876],"genre_scores_gemma":[0.9010092,0.000254983,0.09730738,0.0002771533,0.0001155644,0.0001166475,0.00001286031,0.00003095024,0.0008752475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8703858,"threshold_uncertainty_score":0.8494372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009786716014823109,"score_gpt":0.2564155223791528,"score_spread":0.2466288063643297,"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."}}