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Intrusion detection system design of cloud computing based on abnormal traffic identification

机译:基于异常流量识别的云计算入侵检测系统设计

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摘要

With the ever increasing network security risk factor, network intrusion detection information needed to solve many computational costs, timeliness of a series of technical problems. This article analysed the background of intrusion detection system, generalising the high performance network invade to examine the technique research development condition, then put forward a new intrude detection system of cloud calculate network. Using cloud computing platform, we can quickly detect anomaly network traffic and intrusion detection data. It not only extends the system administrator's security management capabilities, including security auditing, monitoring, attack recognition and traceability, but also improve information security system's integrity and availability.
机译:随着网络安全风险因素的不断增加,网络入侵检测信息需要解决许多计算成本,一系列技术问题的及时性。本文分析了入侵检测系统的背景,概括了高性能网络入侵技术研究的研究现状,然后提出了一种新的云计算网络入侵检测系统。使用云计算平台,我们可以快速检测异常网络流量和入侵检测数据。它不仅扩展了系统管理员的安全管理功能,包括安全审核,监视,攻击识别和可追溯性,而且还提高了信息安全系统的完整性和可用性。

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