Securities Issues with Big Data in Cloud Computing

Authors

  • Dr. Vikash Kumar Singh, Devendra Singh Kushwaha, Manish Taram, Nikhilesh Ganvir Author

Keywords:

Cloud Computing, Big Data, Hadoop, Map Reduce, HDFS (Hadoop Distributed File System)

Abstract

Big data is a collection of data sets which is very large in size as well as complex. Generally size of the data is Petabyte and Exabyte. Every organization has big data. This big data contains structured, semi structured and unstructured data. Social networking users are increasing so the data of the social networking sites are also increasing rapidly. Mostly these data consists of images, videos, audios, conversations and e-mails. They are unstructured big data. So there is a need to process this data intelligent. In this paper, we discuss security issues for cloud computing, Big data, Map Reduce and Hadoop environment. The main focus is on security issues in cloud computing that are associated with big data. Big data applications are a great benefit to organizations, business, companies and many large scale and small scale industries.We also discuss various possible solutions for the issues in cloud computing security and Hadoop. Cloud computing security is developing at a rapid pace which includes computer security, network security, information security, and data privacy.Cloud computing plays a very vital role in protecting data, applications and the related infrastructure with the help of policies, technologies, controls, and big data tools. Moreover, cloud computing, big data and its applications, advantages are likely to represent the most promising new frontiers in science.

1 2

References

[1] Vikash k singh, Devendra Singh kushwaha, Shaibya Singh, Sonal Sharma ―Scope of Big Data and Its Applications‖ International Journal of scientific research and management (IJSRM) Volume3 Issue1 2015 ISSN (e): 2321-3418, Page No. 1996-1999.

[2] Yuri Demchenko, Paola Grosso, Cees de Laat, Peter Membrey,―Addressing Big Data Issues in Scientific Data Infrastructure‖,IEEE 2014 [3] Hao, Chen, and Ying Qiao. "Research of Cloud Computing based on the Hadoop platform."Chengdu, China: 2011, pp. 181 – 184, 21-23 Oct 2011.

[4] Y, Amanatullah, Ipung H.P., Juliandri A, and Lim C. "Toward cloud computing reference architecture: Cloud service management perspective.". Jakarta: 2013, pp. 1-4, 13-14 Jun. 2013.

[5] A, Katal, Wazid M, and Goudar R.H. "Big data: Issues, challenges, tools and Good practices.". Noida:2013, pp. 404 – 409, 8-10 Aug. 2013. [6] Lu, Huang, Ting-tin Hu, and Hai-shan Chen. "Research on Hadoop Cloud Computing Model and its Applications.". Hangzhou, China: 2012, pp. 59 – 63, 21-24 Oct. 2012.

[7] Wie, Jiang , Ravi V.T, and Agrawal G. "A Map-Reduce System with an Alternate API for Multi-core Environments.". Melbourne, VIC: 2010, pp. 84-93, 17-20 May. 2010. International Journal of Network Security & Its Applications (IJNSA), Vol.6, No.3, May 2014.

[8] K, Chitharanjan, and Kala Karun A. "A review on hadoop — HDFS infrastructure extensions.". JeJu Island: 2013, pp. 132-137, 11-12 Apr. 2013.

Downloads

Published

2015-09-09