Mining behavior pattern of mobile malware with convolutional neural network

Mining behavior pattern of mobile malware with convolutional neural network

The features extracted by existing malicious Android application detection methods are redundant and too abstract to reflect the behavior patterns of malicious applications in high-level semantics.In order to solve this problem,an interpretable detection method was proposed.Suspicious system call co...

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Bibliographic Details
Main Authors:	Xin ZHANG, Weizhong QIANG, Yueming WU, Deqing ZOU, Hai JIN
Format:	Article
Language:	English
Published:	POSTS&TELECOM PRESS Co., LTD 2020-12-01
Series:	网络与信息安全学报
Subjects:	Android rapid detection convolutional neural network social network analysis
Online Access:	http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020073
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