{"id":"W3101594578","doi":"10.1109/scam51674.2020.00017","title":"An Approach for the Identification of Information Leakage in Automotive Infotainment systems","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Android (operating system); Computer security; Computer science; Hacker; Attack surface; Information leakage; Automotive industry; Rootkit; Spoofing attack; The Internet; Digitization; Malware; World Wide Web; Operating system; Engineering; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003495535,0.00005073728,0.00007126737,0.0000607583,0.00003648153,0.00007358551,0.0004189977,0.0000268978,4.823146e-7],"category_scores_gemma":[0.00008760417,0.0000373481,0.00001946275,0.0002966888,0.00001612739,0.001425673,0.00004923165,0.00004652017,0.000001606327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003928344,"about_ca_system_score_gemma":0.00001704487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002364111,"about_ca_topic_score_gemma":6.908962e-7,"domain_scores_codex":[0.9993173,0.00002861095,0.00034001,0.0001056688,0.0001360551,0.00007233203],"domain_scores_gemma":[0.9993783,0.00005017687,0.0001802513,0.0002470116,0.0001217147,0.00002253522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005687397,0.0001657905,0.00027569,0.0004463301,0.00002881389,2.941636e-7,0.02129349,0.3970072,0.01484737,0.3903894,0.0006831762,0.1748056],"study_design_scores_gemma":[0.000103616,0.00008232632,0.0006334692,0.000002267106,0.000001225293,5.798494e-7,0.0008485277,0.9591759,0.0383045,0.0002931687,0.0005080611,0.00004629675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005338225,0.000009351405,0.9979228,0.0002779524,0.00004397572,0.0007691294,0.000002874867,0.0002182285,0.0002218295],"genre_scores_gemma":[0.9238694,0.000002989991,0.07570065,0.0001842688,0.0000102339,0.0002178581,0.000003963108,0.000002133611,0.000008544032],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9233356,"threshold_uncertainty_score":0.1523011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560858967084839,"score_gpt":0.2559192597699856,"score_spread":0.2403106700991372,"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."}}