A distributed intrusion detection model based on cloud theory

Han Li, Qiuxin Wu
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引用次数: 7

Abstract

Cloud computing is defined as the storage, management, processing, and accessing information and other data stored in a specific server. With the advent of internet, intrusion attacks have gained sophistication over the time. Distributed attacks could not be detected by the present available intrusion detection system. In this case, we propose a distributed intrusion detection model based on Cloud theory. Our model is composed by Intrusion Detection Agent subsystem and Data Aggregation subsystem. Intrusion Detection Agent subsystem has three parts: data collection module, Cloud decision-making module and communication module. An intrusion detection algorithm based on Cloud theory was proposed to detect intrusion behavior and improve the detection ability to complicated intrusion. Followed by our model, we introduced a strategy to defend DDoS attack using the elastic properties of cloud platform.
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基于云理论的分布式入侵检测模型
云计算被定义为存储、管理、处理和访问存储在特定服务器上的信息和其他数据。随着互联网的出现,入侵攻击变得越来越复杂。分布式攻击无法被现有的入侵检测系统检测到。在这种情况下,我们提出了一种基于云理论的分布式入侵检测模型。该模型由入侵检测代理子系统和数据聚合子系统组成。入侵检测代理子系统由数据采集模块、云决策模块和通信模块三部分组成。为了检测入侵行为,提高对复杂入侵的检测能力,提出了一种基于云理论的入侵检测算法。在模型的基础上,提出了一种利用云平台的弹性特性防御DDoS攻击的策略。
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