Privacy Issues & Security Techniques in Big Data

Archit Tiwari, Nikhil Sharma, I. Kaushik, Ratik Tiwari
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引用次数: 8

Abstract

Big Data, as the name suggests is a process of collection of information in a very large amount and storing it in a multidimensional database of various organizations and thereby performing Analytical operations on it to increase their efficiency and enhance their ability of decision making. Strategies can be made using this technology which uses real time using Big Data Analytics. The main advantage of the technology of big data is that the user gets a complete and an accurate view of answers to all those questions raised by the user in processes related to business decisions. Moreover, the errors which exist within any organization can be identified with the help of this technology. This is due to the real time intuition which helps the organizations identify the errors. Also, in case if any on sanctioned user intends to cheat the organization with the valuable data stored at the database of the organization, the it can be detected at the instant it happens and so suitable measures can be taken against that unsanctioned user. Despite of having so many advantages, it has some limitations also. One of the main issues of concern of this technology is Privacy security. This paper focuses on identifying the threats related to data privacy information stored on the database of the organization and access control systems.
大数据中的隐私问题与安全技术
大数据,顾名思义,就是将大量的信息收集起来,存储在各个组织的多维数据库中,并对其进行分析操作,以提高组织效率和决策能力的过程。利用大数据分析的实时技术可以制定策略。大数据技术的主要优势在于,用户在与业务决策相关的过程中提出的所有问题的答案,都能得到一个完整而准确的视图。此外,在这项技术的帮助下,任何组织中存在的错误都可以被识别出来。这是由于实时直觉帮助组织识别错误。此外,如果任何受制裁的用户打算用存储在该组织数据库中的宝贵数据欺骗该组织,则可以在发生的那一刻检测到,因此可以对该未受制裁的用户采取适当的措施。尽管有这么多的优点,它也有一些局限性。该技术关注的主要问题之一是隐私安全。本文的重点是识别与存储在组织数据库和访问控制系统中的数据隐私信息相关的威胁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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