基于行为分析的移动恶意软件防御系统

Dai-Fei Guo, A. Sui, Tao Guo
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引用次数: 12

摘要

智能手机对许多人来说越来越重要,它可以存储私人机密信息或用于处理重要交易。针对智能手机的新型移动恶意软件层出不穷,给移动用户带来了巨大的威胁。本文提出了一种基于行为的移动恶意软件分析方法,可以有效地检测出已知和新的移动恶意软件。在分析移动用户网络行为的基础上,设计了一种结合用户跟踪和实时阻断技术的移动恶意软件防御系统。该系统可部署在移动互联网中,根据网络行为评估移动恶意软件对移动用户的威胁程度,跟踪被攻击移动用户的身份信息,并根据安全策略对用户提供针对性的安全保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A behavior analysis based Mobile Malware Defense System
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.
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