AndroPIn: Correlating Android permissions and intents for malware detection

摘要: Smartphone» have become a prime target for cyber criminals. Android being the market leader is major of malicious attackers. Covert techniques used by malware make them hard to detect with signature based methods. In this paper, we present AndroPIn — novel detection tool using Permissions and Intents. The proposed framework overcomes limitation stealthy exploiting usage pattern permissions intents. These features, which play role in sharing user data device resources cannot be obfuscated or altered. vital features are well suited resource constrained smartphones. Experimental evaluation on corpus real-world benign apps demonstrate that algorithm can effectively low runtime overheads resilient common obfuscations