流量自适应的移动僵尸网络云控机制研究

僵尸网络从传统恶意代码进化而来，随着智能手机的计算能力与移动互联网接入技术的快速发展，构建移动僵尸网络已成为一种潜在的威胁。针对移动互联网，提出一种具有流量自适应性的移动僵尸网络云控机制，通过分析用户的流量使用情况，在3G和Wi-Fi不同网络环境下采取不同的流量使用策略，使用自适应的调度算法执行僵尸指令。仿真实验证明，在确保僵尸网络命令有效执行的情况下，流量自适应调度算法可有效增强移动僵尸网络的隐蔽性和实时性。

Research on cloud-based traffic adaptive command and control method for mobile botnet

Botnet is a serious attack evolved from traditional malwares. With the rapid development of computing capability and mobile Internet access technology, building a realistic mobile botnet has become a potential threat. An adaptive traffic control mechanism for cloud-based mobile botnet was proposed. It adopts different traffic consumption strategies according to different 3G or Wi-Fi network environments. Then scheduling algorithms to execute botnet commands was applied. The experimental results show the traffic adaptive algorithm can improve the stealthy and efficiency of mobile botnet while ensure that the botnet commands can be executed effectively.