A Comprehensive Survey on Security Challenges and Techniques in Big Data

Authors

  • V. Vijayaganth KPR Institute of Engineering and Technology Coimbatore, India Author
  • V. Vijayaganth KPR Institute of Engineering and Technology Coimbatore, India Author

DOI:

https://doi.org/10.61841/w5kabe36

Keywords:

Big data,, Hadoop, MapReduce, Data Privacy.

Abstract

--Data plays a major role in most of the business today. Due to smarter life style, data is generated at high volume, variety and velocity. This led to new problems in the current systems. Big data has evolved to address the problems in conventional system which cannot hold large volume of data. However, there exist problems associated to data security and privacy in the big data system. In the literature there are several solutions to address these problems. This paper presents an overview on the basic notion of big data and data analytics, some techniques and also presents some of security problems associated to big data.

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References

1. Mayer-Schönberger, V.; Cukier, K. Big Data: “A Revolution that Will Transform How We Live, Work, and Think”; Houghton Mifflin Harcourt: Boston, MA, USA, 2013.

2. Sagiroglu, S.; Sinanc, D. “Big data: A review”. In Proceedings of the 2013 International Conference on Collaboration Technologies and Systems (CTS), San Diego, CA, USA, 20–24 May 2013; pp. 42–47.

3. Hashem, I.A.T.; Yaqoob, I.; Anuar, N.B.; Mokhtar, S.; Gani, A.; Ullah Khan, S. “The rise of big data on cloud computing: Review and open research issues”. Inf. Syst. 2015, 47, 98–115.

4. Sharma, S. “Rise of Big Data and related issues”. In Proceedings of the 2015 Annual IEEE India Conference (INDICON), New Delhi, India, 17–20 December 2015; pp. 1–6.

5. Eynon, R. “The rise of Big Data: What does it mean for education, technology, and media research? Learn. Media Technol”. 2013, 38, 237– 240.

6. “Big Data Working Group; Cloud Security Alliance (CSA). Expanded Top Ten Big Data Security and Privacy”. April 2013.

7. Meng, X.; Ci, X. “Big data management: Concepts, techniques and challenges”. Comput. Res. Dev. 2013, 50,146–169.

8. Cumbley, R.; Church, P. Is “Big Data” creepy Comput. Law Secur. Rev. 2013, 29, 601–609.

9. Apache Hadoop. Available online: http://hadoop.apache.org/

10. Shvachko, K.; Kuang, H.; Radia, S.; Chansler, R. “The Hadoop distributed file system”. In Proceedings of the 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST2010), Incline Village, NV, USA, 3–7 May 2010.

11. Dean, J.; Ghemawat, S. MapReduce: “Simplified Data Processing on Large Clusters”. Commun. ACM 2004, 51, 107–113.

12. RaghavToshniwal, et. al, “Big Data Security Issues and Challenges”, International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 2, Volume 2 (February 2015).

13. T. Prasanth, M. Gunasekaran “A mutual refinement technique for big data retrieval using hash tag graph” Springer, Cross mark, November 2017

14. Yoon, M.; Cho, A.; Jang, M.; Chang, J.W. “A data encryption scheme and GPU-based query processing algorithm for spatial data outsourcing”. In Proceedings of the 2015 International Conference on Big Data and Smart Computing (BIGCOMP), Jeju, Korea, 9–12 February 2015; pp. 202– 209.

15. Colombo, P.; Ferrari, E. “Privacy Aware Access Control for Big Data: A Research Roadmap. Big Data” Res. 2015, 2, 145–154.

16. Ulusoy, H.; Colombo, P.; Ferrari, E.; Kantarcioglu, M.; Pattuk, E. GuardMR: “Fine-grained Security Policy Enforcement for MapReduce Systems”. In Proceedings of the 10th ACM Symposium on Information, Computer and Communications Security, Singapore, 14–17 April 2015; pp. 285–296.

17. RongxinBao, Zhikui Chen, Mohammad S. Obaidat: “Challenges and techniques in Big data security and privacy: A review”. Wiley, March, 2018, pp-1-8.

18. Pulse Global, “ Big Data for Development: Challenges and Opportunities”, NacionesUnidas, Nueva York, mayo: Global Pulse 2012.

19. Patra A, Choudhury A, Rangan CP, “Efficient asynchronous verifiable secret sharing and multiparty computation”, J Cryptol. 2015;28(1):49-109

20. Sahai A, Waters B, “Fuzzy identity-based encryption” International conference on Theory and Application of Cryptographic Techniques. Nice, French Riviera, France. Springer-Verlag. 2005:457-473

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Published

30.06.2020

How to Cite

Vijayaganth, V., & Vijayaganth, V. (2020). A Comprehensive Survey on Security Challenges and Techniques in Big Data. International Journal of Psychosocial Rehabilitation, 24(6), 6502-6508. https://doi.org/10.61841/w5kabe36