Android Malware Detection Combined with Static and Dynamic Analysis


연구 분야: Safety



학회: ICCNS '19: Proceedings of the 2019 9th International Conference on Communication and Network Security


초록

Android System has attracted not only constantly increasing number of smart device users, but also the serious attacks from explosive malicious apps. Consequently, the need to effectively detect Android malware is becoming more and more urgent. In the paper, combing the advantages of static analysis and dynamic analysis, we propose an Android malware detection method based on machine classification. Our experimental results show that the accuracy of the approach meets the requirements of Android malware detection. Subsequently, we apply this approach to perform an interesting detection on the popular apps of different user crowds, and provide some corresponding security advices.


Author Profile
Jianing Zhang

School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China

Andorra
Author Profile
Xingtao Zhuang

School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China

Andorra
Author Profile
Yunfang Chen

School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China

Andorra

📄 논문 정보

발행 연도 2020년
인용수 8
출판 국가 Andorra
사이트 ACM
좋아요 수 0

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