期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：1
页码：257
DOI：10.15680/IJIRSET.2016.0501032
出版社：S&S Publications
摘要：This paper introduces a detailed analysis of big data security issues and challenges. Data has become anindispensable part of every economy, industry, organization, business function and individual. The amount of datain world is growing day by day because of use of internet, Smartphone, social network, fine tuning of ubiquitouscomputing and many other technological advancements. Big Data is a term used to identify the datasets that whose sizeis beyond the ability of typical database software tools to store, manage and analyse. Generally size of the data isPetabyte and Exabyte. Most of the data is partly structured, unstructured or semi structured and it is heterogeneous innature. Due to its specific nature, Big Data is stored in distributed file system architectures. Hadoop and HDFS byApache are widely used for storing and managing Big Data. Analysing it, is a challenging task as it involves largedistributed file systems which should be fault tolerant, flexible and scalable. Traditional database systems is not ableto capture, store and analyse this large amount of data. Security and privacy issues are magnified by velocity,volume, and variety of big data, such as large-scale cloud infrastructures, diversity of data sources and formats,streaming nature of data acquisition, and high volume inter-cloud migration. Therefore, traditional securitymechanisms, which are tailored to securing small-scale static (as opposed to streaming) data, are inadequate. In thispaper, we highlight the some important concept of big data-specific security and privacy challenges so that it will bringrenewed focus on fortifying big data infrastructures.
