A behavior analysis based Mobile Malware Defense System

Abstract

Smartphone is more and more important for many people, which may store private confidential information or is used for dealing with important transaction. Many new mobile malware aiming to Smartphone are appearing which pose tremendous threat to mobile user. This paper proposes a behavior-based mobile malware analysis method which can detect the known and new mobile malware efficiently. A Mobile Malware Defense System (MMDS) based on analyzing mobile user's network behavior is designed which combines the user tracing and real time blocking technology. This system can be deployed in the mobile internet, which can evaluate the mobile malware threat degree to the mobile user according to the network behavior, trace the identity information of the attacked mobile user and provide specific security protection to the users according to the security policy.