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	Droidward: an effective dynamic analysis method for vetting android applications
	Yang, Yubin1; Wei, Zongtao2; Xu, Yong1; He, Haiwu3; Wang, Wei2
刊名	Cluster computing-the journal of networks software tools and applications
	2018-05-01
卷号	21期号:1页码:265-275
关键词	Android security Malware analysis Malware detection Dynamic analysis
ISSN号	1386-7857
DOI	10.1007/s10586-016-0703-5
通讯作者	Yang, yubin(ronald_yang@126.com)
英文摘要	As the number of android malicious applications has explosively increased, effectively vetting android applications (apps) has become an emerging issue. traditional static analysis is ineffective for vetting apps whose code have been obfuscated or encrypted. dynamic analysis is suitable to deal with the obfuscation and encryption of codes. however, existing dynamic analysis methods cannot effectively vet the applications, as a limited number of dynamic features have been explored from apps that have become increasingly sophisticated. in this work, we propose an effective dynamic analysis method called droidward in the aim to extract most relevant and effective features to characterize malicious behavior and to improve the detection accuracy of malicious apps. in addition to using the existing 9 features, droidward extracts 6 novel types of effective features from apps through dynamic analysis. droidward runs apps, extracts features and identifies benign and malicious apps with support vector machine (svm), decision tree (dtree) and random forest. 666 android apps are used in the experiments and the evaluation results show that droidward correctly classifies 98.54% of malicious apps with 1.55% of false positives. compared to existing work, droidward improves the tpr with 16.07% and suppresses the fpr with 1.31% with svm, indicating that it is more effective than existing methods.
WOS关键词	AUDIT DATA STREAMS ; INTRUSION ; ENCRYPTION
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Theory & Methods
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000457272700022
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2374263
专题	计算机网络信息中心
通讯作者	Yang, Yubin
作者单位	1.South China Univ Technol, Sch Comp Sci & Engn, Guangzhou 510641, Guangdong, Peoples R China 2.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China 3.Chinese Acad Sci, Comp Network Informat Ctr, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Yang, Yubin,Wei, Zongtao,Xu, Yong,et al. Droidward: an effective dynamic analysis method for vetting android applications[J]. Cluster computing-the journal of networks software tools and applications,2018,21(1):265-275.
APA	Yang, Yubin,Wei, Zongtao,Xu, Yong,He, Haiwu,&Wang, Wei.(2018).Droidward: an effective dynamic analysis method for vetting android applications.Cluster computing-the journal of networks software tools and applications,21(1),265-275.
MLA	Yang, Yubin,et al."Droidward: an effective dynamic analysis method for vetting android applications".Cluster computing-the journal of networks software tools and applications 21.1(2018):265-275.

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