Abstract
In the current digital world, big data concept is increasing very rapidly. Data is generated in very large volume and in a variety of forms. This large and complex dataset is used by the business organizations for finding their customer needs or insights. Therefore, the security and privacy over the large datasets become too much necessary for the organizations and users. This paper mainly deals with the issues related to big data while storing and processing it. In the proposed architecture clients data is distributed among different Hadoop machines and computation is done through a single machine using a random method and joint computation is performed here that announces the final result to the clients. Therefore, our architecture provides the anonymity of users to maintain the high level of privacy, that means machine who performs computation only knows the data as a whole of all clients and does not know to whom the data belongs and thus the privacy of different user during data processing remains anonymous.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Inukollu VN, Arsi S, Ravuri SR (2014) Security issues associated with big data in cloud computing. Trans IJNSA 6(3)
Savant VG (2015) Approaches to solve big data security issues and comparative study of cryptographic algorithms for data encryption. Trans IJICAR 1(1)
Terzi DS, Terzi R, Sagiroglu S (2015) A survey on security and privacy issues in big data. Trans ICITST 202–207
Cloud security alliance top ten big data security and privacy challenges. https://downloads.cloudsecurityalliance.org/initiatives/bdwg/Big_Data_Top_Ten_v1.pdf
How to manage big data’s big security challenges. http://data-informed.com/manage-big-datas-big-security-challenges/
Mehmood A, Natgunanthan I, Xiang Y, Hua G, Guo S (2016) Protection of big data privacy. IEEE Access 4:1821–1834
Goyal V, Pandey O, Sahai A, Waters B (2006) Attribute based encryption for fine grained access control of encrypted data. In: Proceedings of ACM conference computer and communication security, Oct 2006, pp 89–98
Big data security and privacy handbook by cloud security alliance. https://downloads.cloudsecurityalliance.org/assets/research/big-data/BigData_Security_and_Privacy_Handbook.pdf
Mehta BB, Rao UP (2015) Privacy preserving unstructured big data analytics: issues and challenges, 11–12 Dec 2015
Search financial security. http://searchfinancialsecurity.techtarget.com/definition/personally-identifiable-information
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Jadon, P., Mishra, D.K. (2019). Security and Privacy Issues in Big Data: A Review. In: Rathore, V., Worring, M., Mishra, D., Joshi, A., Maheshwari, S. (eds) Emerging Trends in Expert Applications and Security. Advances in Intelligent Systems and Computing, vol 841. Springer, Singapore. https://doi.org/10.1007/978-981-13-2285-3_77
Download citation
DOI: https://doi.org/10.1007/978-981-13-2285-3_77
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-2284-6
Online ISBN: 978-981-13-2285-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)