{"id":"W3209600654","doi":"","title":"Android App Protection through Anti-tampering and Anti-debugging Techniques","year":2018,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs; Canada Research Chairs","keywords":"Debugging; Android (operating system); Computer science; Android app; Computer security; Operating system; Smartphone app; Internet privacy; Embedded system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008000435,0.001143965,0.0006237152,0.001572799,0.0005732619,0.001164277,0.001492933,0.001219691,0.003182546],"category_scores_gemma":[0.00550754,0.0004479696,0.0006984636,0.0003822088,0.0007022751,0.001818868,0.001634104,0.001452261,0.002655727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002581971,"about_ca_system_score_gemma":0.0007287359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006930395,"about_ca_topic_score_gemma":0.0006999235,"domain_scores_codex":[0.998161,0.0002649428,0.0001575587,0.0002961034,0.0008896926,0.0002307637],"domain_scores_gemma":[0.9955857,0.0009484152,0.0005961098,0.001644071,0.00112773,0.00009798363],"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":[0.000485642,0.0003515432,0.00546476,0.001446955,0.0001332245,0.002443054,0.001743316,0.004471756,0.1946386,0.01793807,0.02367372,0.7472093],"study_design_scores_gemma":[0.0001234803,0.001263141,0.01086923,0.0008929542,0.0004850941,0.01201386,0.0004906349,0.09329443,0.5495326,0.01139416,0.3193583,0.0002820883],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1598384,0.01595517,0.6825858,0.002299142,0.001030289,0.001888629,0.0006009576,0.04924602,0.08655574],"genre_scores_gemma":[0.8148549,0.004337718,0.1482414,0.001326665,0.0002371414,0.000445718,0.000549313,0.001250238,0.02875695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003182546,"threshold_uncertainty_score":0.0106467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006894471529895458,"score_gpt":0.2062482339124796,"score_spread":0.1993537623825842,"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."}}