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Big data Analytics of cyber attacks: a review

机译:网络攻击的大数据分析:审查

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摘要

Cyber crime over big data is expand with unprecedented rate that badly affects the Internet industry and the global data. Progressively sophisticated attack and offensive methods used by cyber attacker and the growing role of data-driven and intelligence-driven adversaries demonstrate that traditional approaches to mitigate cyber threats are becoming ineffective. Big Data in wide areas also freely available for Marketing, Criminal activities and Fraud detection, Epidemic Intelligence etc. It is tedious job to analysis big data on traditional database, NoSQL have been developed as a scalable platform to store and process large amount of data. In this paper, different types of attacks on big data, its storage mechanism and real time analytics approaches are discussed.Also taking social media data as a big data, studies different social network attacks and provided a problem statement based on the study.
机译:在大数据上的网络犯罪率扩展了前所未有的利率,严重影响互联网行业和全球数据。网络攻击者使用的逐步复杂的攻击和冒犯方法以及数据驱动和智力驱动的对手的越来越大的作用表明,减轻网络威胁的传统方法变得无效。广泛领域的大数据也可自由地提供营销,犯罪活动和欺诈检测,流行智能等。它是分析传统数据库的大数据的繁琐工作,NoSQL已成为一个可扩展的平台来存储和处理大量数据。在本文中,讨论了对大数据的不同类型的攻击,其存储机制和实时分析方法是讨论的。将社交媒体数据作为大数据,研究不同的社交网络攻击,并根据研究提供了问题陈述。

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