基于大数据分析的云实时威胁检测系统

Rohit More, Anand Unakal, V. Kulkarni, R. Goudar
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引用次数: 6

摘要

网络数据是通过网络产生的信息,这些数据经常受到网络攻击。网络犯罪分子试图窃取个人数据或组织机密数据的有用信息。在云应用中,大量数据在计算机集群中进行处理,并存储在公共存储器中,而公共存储器经常受到网络攻击的威胁。云上的数据量增长迅速,其数据量巨大,被称为大数据。这些大数据更容易受到网络攻击。由于大数据具有体积大、种类多、速度快等特点,传统的检测系统很难检测到攻击。本文提出了利用大数据技术对海量数据进行分析,在短时间内检测出云网络上的网络攻击的威胁检测系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real time threat detection system in cloud using big data analytics
The network data is the information generated over the network and this data is always under the cyber attack. The cyber criminals try to steal the useful information of someone's personal data or the organizations confidential data. In cloud applications, huge amount of data is processed in cluster of computers and stores the data at Common storage which is always under the threat of the cyber attacks. The data generation over cloud is increasing rapidly and it is huge in amount such data is called as big data. This big data is more vulnerable to cyber attacks. Due to big data's properties such as volume, variety, velocity it is very difficult to detect the attacks using traditional detection system. In this paper we proposed the threat detection system which uses big data technologies to analyze huge data and detects the cyber attacks over cloud networks in less time.
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