大数据环境下增强和扩展安全的联合途径

V. S, D. Benitta, Marzouq Yasser Atab, A. M. Shareef, Aqeel Ali, Mustafa Al-Tahee
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引用次数: 0

摘要

今天,人们生活在“数据时代”。数据在很多方面都被折磨和沉迷于忏悔。术语“大数据”指的是在不到一秒的时间内以非结构化数据的格式流传输的大量数据。由于数据量很大,挑战也很高,处理数据的过程变得如此令人生畏。而大数据的安全问题正成为对许多组织发展至关重要的数据的巨大威胁。由于安全解决方案不能提供一站式的解决方案,因此在这项工作中提出了分层方法来保护机密数据。它将传统的重加密算法RSA与数据屏蔽技术相结合,提高了数据的安全性。之所以提出RSA算法,是因为使用该算法在互联网上交换数据是非常安全的,它在很大程度上保持了数据的机密性,并且由于通过拦截器很难破解密钥,因此该算法将保持高韧性。我们提出的方法的结果和讨论将导致一个具有模糊程序的增强安全系统,有效地加强了该系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Conjunctional Approach for Enhanced and Extended Security in Big data Environment
Today people’s live in the "Era of Data". The data has been tortured and indulged in confession in many ways. The term big data deals with large volumes of data that streams in a fraction of a second and of-course in the format of unstructured data. As the data are big the challenges are high and the process of handling data is becoming so daunting. And the security issues of big data are becoming a great threat to the data which is very critical for the development of many organizations. As the security solution cannot be given as a one-stop solution a layered methodology has been proposed in this work for securing confidential data. It is a combination of heavy encryption traditional algorithm RSA and data masking technique which will lead to better security for the data. The reason why the RSA algorithm is proposed is that by using this algorithm it is very safe to exchange data over the internet, it maintains the confidentiality of the data to a high extent and this algorithm will maintain high toughness because breaking the keys through interceptors is difficult. The results and discussions of our proposed methodology will lead to an enhanced security system with fuzzy procedures which efficiently strengthen the system.
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