Combination attack of android applications analysis scheme based on privacy leak

Autor: Chengze Li, Jieming Gu, Dian Lei, Qi Li
Rok vydání: 2016
Předmět:
Zdroj: CCIS
Popis: In recent years, attackers use communication defects among different applications to trigger malicious attack behaviors, we name it combination attack of Android applications. Combination attack of Android applications is researched in depth, but there are still some shortcomings in the research findings. Because the combination attack of Android applications involves several applications, it is more hidden than general attack and the detection scheme for single application is not suitable. Based on these, this paper proposes a combination attack of Android applications analysis scheme based on privacy leak. Firstly, detecting the risk components of applications and then extracting the associated applications. Moreover, we establish privacy leak paths of the associated applications. Based on these, we can find the applications that involve in combination attack. The experimental result shows that this scheme can analyze the combination attack of Android applications effectively.
Databáze: OpenAIRE