Innovative Approach of Data Encryption Algorithm for Securing Big Data

Shivani Awasthi, Narendra Kohli
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Abstract

Nowadays, a large amount of data that is growing exponentially is known as Big data. In other words, big data contains more variety and comes in big volume with more velocity. Traditional processing software cannot handle complex and big amounts of data, but this data addresses a lot of business problems, that could not be able to tackle before so to deal with this data, open-source software HDFS (Hadoop Distributed File System) is used as a cloud storage system. Big Data Security is a collective term used for all measures and tools that are used to guard data and analytics processes used for accessing the data. Big data is a joint term and tool for data and data management systems against attacks, thefts, or other malicious activities that could harm or negatively affect them so server and serverless systems both are major concerned with high security of data. The author’s research presents data security in the cloud computing environment in this paper. HDFS does not provide any scheme of encryption and decryption for securing the data, HDFS act as a storage medium that stores data in Avro format. Users use the encryption key and encryption zone to encrypt their data into HDFS.
保护大数据的数据加密算法创新方法
如今,大量呈指数级增长的数据被称为大数据。换句话说,大数据包含了更多的种类,并且以更快的速度大量产生。传统的处理软件无法处理复杂和大量的数据,但是这些数据解决了很多以前无法解决的业务问题,因此为了处理这些数据,使用开源软件HDFS (Hadoop分布式文件系统)作为云存储系统。大数据安全是用于保护数据和用于访问数据的分析过程的所有措施和工具的统称。大数据是数据和数据管理系统抵御攻击、盗窃或其他可能对其造成伤害或负面影响的恶意活动的联合术语和工具,因此服务器和无服务器系统都主要关注数据的高安全性。本文主要研究云计算环境下的数据安全问题。HDFS没有提供任何加密和解密方案来保护数据,HDFS作为存储介质,以Avro格式存储数据。用户使用加密密钥和加密区将数据加密到HDFS。
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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