Detection of malicious behavior in android apps through API calls and permission uses analysis

Author:

Yang Ming1ORCID,Wang Shan1,Ling Zhen1,Liu Yaowen1,Ni Zhenyu1

Affiliation:

1. School of Computer Science and Engineering; Southeast University; Nanjing China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Jiangsu Provincial Key Technology R&D Program

Qing Lan Project of Jiangsu Province, Jiangsu Provincial Key Laboratory of Network and Information Security

Key Laboratory of Computer Network and Information Integration of Ministry of Education of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference28 articles.

1. International Data Corporation Worldwide smartphone market will see the first single-digit growth year on record http://www.idc.com/getdoc.jsp?containerId=prUS40664915

2. http://www.lbesec.com/#/products/2

3. http://www.360securityapps.com/en-us

4. Ni Z Yang M Ling M Wu JN Luo J “Real-time detection of malicious behavior in Android apps” 2016

5. Enck W Gilbert P Chun B-G TaintDroid: an information flow tracking system for real-time privacy monitoring on smartphones 2010 1 6

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