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Research oh Intrusion Detection Method base on Cloud Computing

机译:基于云计算的入侵检测方法研究

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As a new generation of technology cloud computing has been widely applied to various fields,and owing to the problem of the security,the security problems of the data in the cloud computing platform has been becoming the focus of attention.Therefore,it is vital of cloud computing that to put forward a security mechanism to ensure the security of data in the environment of cloud computing.The related technology of Intrusion Detection is researched,and the thoughts of combining misuse detection and anomaly detection together are adopting.Then a method of anomaly detection based on data mining is given.It is the improved decision trees algorithm,and achieves a real-time updates of invading the signature database by misuse detection.It was improved through the experiment the application based on improved decision trees can detect the attack effectively and guarantee the security of the cloud computing.
机译:由于新一代技术云计算已被广泛应用于各种领域,而由于安全问题,云计算平台中数据的安全问题已成为关注的焦点。因此,它是至关重要的云计算要提出安全机制,以确保云计算环境中的数据安全。研究了入侵检测的相关技术,以及将滥用检测和异常检测的思想在一起采用。该方法是一种异常的方法给出了基于数据挖掘的检测.it是改进的决策树算法,并通过误用检测实现了侵犯签名数据库的实时更新。通过实验得到改善,基于改进的决策树可以有效地检测攻击并保证云计算的安全性。

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