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Security and Communication Networks
Volume 2017 (2017), Article ID 6451260, 14 pages
https://doi.org/10.1155/2017/6451260
Research Article

Mlifdect: Android Malware Detection Based on Parallel Machine Learning and Information Fusion

1College of Computer Science and Electronics Engineering, Hunan University, Changsha, China
2Hunan Provincial Key Laboratory of Network Investigational Technology, Hunan Police Academy, Changsha, China
3Key Laboratory of Network Crime Investigation of Hunan Provincial Colleges, Hunan Police Academy, Changsha, China
4Department of Computer Sciences, New York Institute of Technology, New York, NY, USA

Correspondence should be addressed to Dafang Zhang; nc.ude.unh@gnahzfd

Received 23 January 2017; Revised 4 June 2017; Accepted 6 July 2017; Published 28 August 2017

Academic Editor: Jesús Díaz-Verdejo

Copyright © 2017 Xin Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Xin Wang, Dafang Zhang, Xin Su, and Wenjia Li, “Mlifdect: Android Malware Detection Based on Parallel Machine Learning and Information Fusion,” Security and Communication Networks, vol. 2017, Article ID 6451260, 14 pages, 2017. doi:10.1155/2017/6451260