Security Issues Associated With Big Data in Cloud Computing

International Journal of Computer Science and Engineering
© 2014 by SSRG - IJCSE Journal
Volume 1 Issue 8
Year of Publication : 2014
Authors : K.Iswarya

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Citation:
MLA Style:

K.Iswarya, "Security Issues Associated With Big Data in Cloud Computing" SSRG International Journal of Computer Science and Engineering 1.8 (2014): 1-5.

APA Style:

K.Iswarya, (2014). Security Issues Associated With Big Data in Cloud Computing. SSRG International Journal of Computer Science and Engineering 1.8, 1-5.

Abstract:

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.

References:

[1] Ren, Yulong, and Wen Tang. "A Service Integrity Assurance Framework For Cloud Computing Based On Mapreduce."Proceedings of IEEE CCIS2012.. 30 2012-Nov. 1 2012
[2] 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. 
[3] 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. 
[4] 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. 
[5] 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. 
[6] K, Chitharanjan, and Kala Karun A. "A review on hadoop — HDFS infrastructure extensions.". JeJu Island: 2013, pp. 132- 137, 11-12 Apr. 2013. 
[7] F.C.P, Muhtaroglu, Demir S, Obali M, and Girgin C. "Business model canvas perspective on big data applications." Big Data, 2013 IEEE International Conference, Silicon Valley, CA, Oct 6-9, 2013, pp. 32 - 37. 
[8] Xu-bin, LI , JIANG Wen-rui, JIANG Yi, ZOU Quan "Hadoop Applications in Bioinformatics." Open Cirrus Summit (OCS), 2012 Seventh, Beijing, Jun 19-20, 2012, pp. 48 - 52. 
[9] Bertino, Elisa, Silvana Castano, Elena Ferrari, and Marco Mesiti. "Specifying and enforcing access control policies for XML document sources." pp 139-151. 
[10] Kilzer, Ann, Emmett Witchel, Indrajit Roy, Vitaly Shmatikov, and Srinath T.V. Setty. "Airavat: Security and Privacy for MapReduce." 
[11] "Security-Enhanced Linux."Security-Enhanced Linux. N.p. Web. 13 Dec 2013.

Key Words:

CLOUD COMPUTING, BIG DATA, HADOOP,MAP REDUCE, HDFS.