期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：10
DOI：10.15680/IJIRCCE.2015.0310017
出版社：S&S Publications
摘要：In this new era of Big Data, with cheap data storage devices and cheap processing power becoming available, organizations are collecting massive volumes of data, with the intent of deriving insights and making decisions. While most of the focus is on collecting data, also the security and privacy issues are magnified by the volume, variety, and velocity of Big Data. The diversity of data sources, formats, and data flows, co mbined with the streaming nature o f data collection and high volume create uniq ue security risks, having all data at one place increases the risk of data security and any kind of data breach can lead to negative publicity and a loss of customer confidence. Hadoop is one of the main technologies powering Big D ata implementations. In this paper, we cover some of the ways in which data security can be ensured while implementing Big Data solutions using Hadoop.
关键词：Hadoop; Big Data; enterprise; defense; risk; Security and Privacy
