Android Malware Detection Based on Static Behavior Feature Analysis
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Chen Chen | Yun Liu | Bo Shen | Junjun Cheng | Junjun Cheng | Bo Shen | Chen Chen | Yun Liu
[1] Latifur Khan,et al. A Machine Learning Approach to Android Malware Detection , 2012, 2012 European Intelligence and Security Informatics Conference.
[2] Mohammed S. Alam,et al. Random Forest Classification for Detecting Android Malware , 2013, 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing.
[3] Sakir Sezer,et al. A New Android Malware Detection Approach Using Bayesian Classification , 2013, 2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA).
[4] Neeraj Kumar,et al. Decision Tree and SVM-Based Data Analytics for Theft Detection in Smart Grid , 2016, IEEE Transactions on Industrial Informatics.
[5] Seetha Hari,et al. Learning From Imbalanced Data , 2019, Advances in Computer and Electrical Engineering.
[6] Xiangliang Zhang,et al. Exploring Permission-Induced Risk in Android Applications for Malicious Application Detection , 2014, IEEE Transactions on Information Forensics and Security.
[7] Richard E. Harang,et al. Rapid Permissions-Based Detection and Analysis of Mobile Malware Using Random Decision Forests , 2013, MILCOM 2013 - 2013 IEEE Military Communications Conference.
[8] Seref Sagiroglu,et al. A review on mobile threats and machine learning based detection approaches , 2016, 2016 4th International Symposium on Digital Forensic and Security (ISDFS).
[9] Witawas Srisa-an,et al. DroidClassifier: Efficient Adaptive Mining of Application-Layer Header for Classifying Android Malware , 2016, SecureComm.
[10] Patrick D. McDaniel,et al. On lightweight mobile phone application certification , 2009, CCS.
[11] Jin Li,et al. Secure attribute-based data sharing for resource-limited users in cloud computing , 2018, Comput. Secur..
[12] Hu Wenju. A Detection Method and System Implementation for Android Malware , 2013 .
[13] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[14] Yuval Elovici,et al. Automated Static Code Analysis for Classifying Android Applications Using Machine Learning , 2010, 2010 International Conference on Computational Intelligence and Security.
[15] VARUN CHANDOLA,et al. Anomaly detection: A survey , 2009, CSUR.
[16] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[17] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[18] Konrad Rieck,et al. DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket , 2014, NDSS.