- 期刊
Malicious Behavior Analysis for Android Applications
並列摘要
Android, as a modern popular open source mobile platform, makes its security issues more prominent, especially in user privacy leakage. In this paper, we proposed a twostep model which combines static and dynamic analysis approaches. During the static analysis, permission combination matrix is used to determine whether an application has potential risks. For those suspicious applications, based on the reverse engineering, embed monitoring Smali code for those sensitive APIs such as sending SMS, accessing user location, device ID, phone number, etc. From experiments, it shows that almost 26% applications in Android market have privacy leakage risks. And our proposed method is feasible and effective for monitoring these kind of malicious behavior.
延伸閱讀
- 鄭傑文（2013）。Identifying potentially malicious behavior inside Android malware by static code analysis〔碩士論文，國立中正大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0033-2110201613551514
- Chen, C., Liu, Y., Shen, B., & Cheng, J. J. (2018). Android Malware Detection Based on Static Behavior Feature Analysis. 電腦學刊, 29(6), 243-253. https://doi.org/10.3966/199115992018122906024
- 陳健宏 (2012). Identifying Malicious Applications by Behavioral Similarity on Android Platforms [master's thesis, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2012.00253
- 林志剛（2013）。Android Application Security and Permissions Analysis〔碩士論文，國立宜蘭大學〕。華藝線上圖書館。https://doi.org/10.6820/NIU.2013.00168
- Ou, J. D. (2015). Dynamic Analysis System for Android Application Vulnerability [master's thesis, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-1908201515575066