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  • 标题:Big Data Security And Privacy
  • 本地全文:下载
  • 作者:Muhammad Danish
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2019
  • 卷号:67
  • 期号:5
  • 页码:20-26
  • DOI:10.14445/22312803/IJCTT-V67I5P104
  • 出版社:Seventh Sense Research Group
  • 摘要:Big knowledge (DATA) has emerged as a necessity within the gift world. Most of the persons are connected to at least one another through completely different modes of communications. Folks share data in numerous forms. The knowledge that connects folks is growing staggeringly in giant volume that is making security and privacy considerations. As massive knowledge technologies are rising at no time pace, it's conjointly making the house for security and privacy problems. Till these problems don't seem to be selfaddressed properly, it's going to produce obstacles to the fulfillment of expected growth and opportunities and longrun success of massive knowledge. During this paper, we have a tendency to review the assorted domains of massive knowledge like tending, social media, net of things (IOT) and social networking for security and privacy connected problems. Thus protective its security is extremely vital and changing into a prime priority for several organizations. Sadly there's no single formula which will guarantee 100% of data security. Thus there's a desire for a group of benchmarks or standards to make sure the most effective security practices area unit adopted and an adequate level of security is earned. During this paper, authors introduce varied info security standards shortly and so give a comparative study for major info security standards.
  • 关键词:Big data; security; privacy; data knowledge; data sharing.
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