{"id":"W2886307859","doi":"10.1145/3230833.3230849","title":"Android authorship attribution through string analysis","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Malware; Android (operating system); Computer science; Android malware; Mobile malware; Authorship attribution; Popularity; Cryptovirology; Computer security; Mobile device; Operating system; Artificial intelligence","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":[0.001785254,0.001008435,0.00091021,0.01348696,0.0009890175,0.002453323,0.0007649875,0.00109776,0.003755729],"category_scores_gemma":[0.01746007,0.0003120001,0.0006229298,0.004702633,0.0005200419,0.003060763,0.00234163,0.0007182714,0.00527488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005539326,"about_ca_system_score_gemma":0.001000579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009111293,"about_ca_topic_score_gemma":0.001150526,"domain_scores_codex":[0.9953046,0.0008164279,0.0006998939,0.001007625,0.001819411,0.0003520643],"domain_scores_gemma":[0.9841834,0.004718218,0.003368331,0.00356918,0.003695999,0.0004648006],"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":[0.0006136033,0.0001805435,0.09485047,0.0005623837,0.0001249156,0.001185201,0.00055321,0.005039754,0.01608505,0.007782867,0.0286435,0.8443785],"study_design_scores_gemma":[0.00009857181,0.000320604,0.1040404,0.0003755307,0.0002663516,0.006393527,0.001390561,0.6687665,0.0736513,0.0549451,0.08946248,0.0002891125],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5140652,0.004220945,0.4010053,0.001794411,0.001706643,0.0007161363,0.01560191,0.02786819,0.03302117],"genre_scores_gemma":[0.8900521,0.0009979499,0.08665659,0.0001617567,0.0004879058,0.0001874779,0.009664427,0.0003655012,0.01142633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01348696,"threshold_uncertainty_score":0.01256412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699506709452703,"score_gpt":0.3090096326781219,"score_spread":0.2820145655835948,"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."}}