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| 1 | Feature Selection for Malware Detection on the Android Platform Based on Differences of IDF Values显示文摘Android is the mobile operating system most frequently targeted by malware in the smartphone ecosystem,with a market share significantly higher than its competitors and a much larger total number of applications.Detection of malware before being published on official or unofficial application markets is critically important due to the typical end users'widespread security inadequacy.In this paper,a novel feature selection method is proposed along with an Android malware detection approach.The feature selection method proposed in this study makes use of permissions,API calls,and strings as features,which are statically extractable from the Android executables(APK files)and it can be used in a machine learning process with different algorithms to detect malware on the Android platform.A novel document frequency-based approach,namely Delta IDF,was designed and implemented for feature selection.Delta IDF was tested upon three universal benchmark datasets that contain Android malware samples and highly promising results were obtained by using several binary classification algorithms. | Gokcer Peynirci Mete Eminagaoglu Korhan Karabulut | 2020 | Journal of Computer Science & Technology2020，35，4： | 4 |
| 2 | Methyltetrahydrofolate reductase C677T gene mutation and hyperhomocysteinemia as a novel risk factor for diabetic nephropathy显示文摘 | Kubilay Ukinc Halil Onder Ersoz Caner Karahan Cihangir Erem Selcuk Eminagaoglu Arif Bayram Hacihasanoglu Mustafa Yilmaz Mustafa Kocak | 2009 | Endocrine2009，，2： | 1 |
| 3 | Implementation and comparison ofmachine learning classifiers for information security riskanalysis of a human resources department显示文摘 | Eminagaoglu M Eren S | 2011 | InternationalJournal of Computer Information Systems and IndustrialManagement Applications2011，3，2011： | 1 |
| 4 | Imple- mentation and comparison of machine learning classifiers for information security risk analysisof a human resources department 显示文摘 | Mete Eminagaoglu Saban Eren | 2011 | International Journal of Computer Information Systems and Industrial Management Applica- tions2011，3，： | 1 |
| 5 | The di agnogistic value of beta-human chorionic gonadotropin, pro- gesterone, CA125 in the prediction of abortions 显示文摘 | Osmanagaoglu MA Erdogan I Eminagaoglu S | 2010 | J Obstet Gynaecol2010，30，3： | 1 |
| 6 | A novel indicator of wide- spread endothelial damage and ischemia in diabetic patients:ische- mia-modified albumin显示文摘 | Ukinc K Eminagaoglu S Ersoz HO | 2009 | Endocrine2009，36，3： | 1 |
| 7 | The diagnostic value of 13-human chorionic gonadotropin, progesterone, CA125 in the prediction of abortions显示文摘 | M A Osmanagaoglu I Erdogan S Eminagaoglu | 2010 | Journal of Obstetrics and Gynaecology April2010，30，3： | 1 |
| 8 | A novel indicator of widespread endothelial damage and ischemia in diabetic patients: ischemia-modified albumin显示文摘 | Kubilay Ukinc Selcuk Eminagaoglu Halil Onder Ersoz Cihangir Erem Caner Karahan Arif Bayram Hacihasanoglu Mustafa Kocak | 2009 | Endocrine2009，，3： | 1 |
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