MLDroid—framework for Android malware detection using machine learning techniques
作者： Arvind Mahindru , A. L. Sangal
DOI: 10.1007/S00521-020-05309-4
关键词:
摘要: … features for developing malware detection model we implement feature selection approaches. In the fifth phase, to develop effective and efficient Android malware detection model we …
scilit.net
springer.com参考文章(70)
Uday Singh Kushwaha, P. K. Gupta, S. P. Ghrera, Performance evaluation of AOMDV routing algorithm with local repair for wireless mesh networks CSI Transactions on ICT. ,vol. 2, pp. 253- 260 ,(2015) , 10.1007/S40012-015-0065-9
Baojiang Cui, Haifeng Jin, Giuliana Carullo, Zheli Liu, Service-oriented mobile malware detection system based on mining strategies Pervasive and Mobile Computing. ,vol. 24, pp. 101- 116 ,(2015) , 10.1016/J.PMCJ.2015.06.006
Igor Santos, Borja Sanz, Carlos Laorden, Felix Brezo, Pablo G Bringas, None, Opcode-sequence-based semi-supervised unknown malware detection computational intelligence and security. pp. 50- 57 ,(2011) , 10.1007/978-3-642-21323-6_7
Chun-Ying Huang, Yi-Ting Tsai, Chung-Han Hsu, Performance Evaluation on Permission-Based Detection for Android Malware Advances in Intelligent Systems and Applications - Volume 2. pp. 111- 120 ,(2013) , 10.1007/978-3-642-35473-1_12
Yousra Aafer, Wenliang Du, Heng Yin, DroidAPIMiner: Mining API-Level Features for Robust Malware Detection in Android Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. pp. 86- 103 ,(2013) , 10.1007/978-3-319-04283-1_6
Asaf Shabtai, Uri Kanonov, Yuval Elovici, Chanan Glezer, Yael Weiss, Andromaly: a behavioral malware detection framework for android devices intelligent information systems. ,vol. 38, pp. 161- 190 ,(2012) , 10.1007/S10844-010-0148-X
Mohd Zaki Mas'ud, Shahrin Sahib, Mohd Faizal Abdollah, Siti Rahayu Selamat, Robiah Yusof, Analysis of Features Selection and Machine Learning Classifier in Android Malware Detection 2014 International Conference on Information Science & Applications (ICISA). pp. 1- 5 ,(2014) , 10.1109/ICISA.2014.6847364
Ali El Attar, Rida Khatoun, Marc Lemercier, A Gaussian mixture model for dynamic detection of abnormal behavior in smartphone applications global information infrastructure and networking symposium. pp. 1- 6 ,(2014) , 10.1109/GIIS.2014.6934278
David Barrera, H. G üne ş Kayacik, Paul C. van Oorschot, Anil Somayaji, A methodology for empirical analysis of permission-based security models and its application to android Proceedings of the 17th ACM conference on Computer and communications security - CCS '10. pp. 73- 84 ,(2010) , 10.1145/1866307.1866317
Hans‐Peter Kriegel, Peer Kröger, Jörg Sander, Arthur Zimek, Density‐based clustering Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery. ,vol. 1, pp. 231- 240 ,(2011) , 10.1002/WIDM.30