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Intrusion-Detection System Based on Fast Learning Network in Cloud Computing

机译:基于快速学习网络在云计算中的入侵检测系统

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摘要

Detection of attacks in the computers and networks keeps being the pertinent and challenging area of researchers. Intrusion-Detection System is an essential technology of Network Security. Currently, Intrusion Detection still faces some challenges like huge amounts of data to process,high averages of false alarms and low detection rates especially in cloud environment which more vulnerable to attacks. This paper includes an overview of the intrusion-detection system and introduces to the reader some fundamental concepts of IDS work in cloud computing, also propose a newalgorithm Fast Learning Network to work based on an intrusion detection.
机译:检测计算机和网络的攻击一直是研究人员的相关和具有挑战性的领域。 入侵检测系统是网络安全的基本技术。 目前,入侵检测仍然面临一些挑战,如巨大的数据流程,虚假警报和低检测率的高平均值,特别是在云环境中更容易攻击。 本文包括入侵检测系统的概述,并向读者介绍了云计算中的IDS工作的一些基本概念,还提出了一种基于入侵检测的新学习快速学习网络。

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