A distributed randomization framework for privacy preservation in big data

Title

A distributed randomization framework for privacy preservation in big data

Creator

Shukla S.; Sadashivappa G.

Description

The privacy preservation is a big challenge for data generated from various sources such as social networking sites, online transaction, weather forecast to name a few. Due to the socialization of the internet and cloud computing pica bytes of unstructured data is generated online with intrinsic values. The inflow of big data and the requirement to move this information throughout an organization has become a new target for hackers. This data is subject to privacy laws and should be protected. The proposed protocol is one step toward the security in case of above circumstances where data is coming from multiple participants and all are concerned about individual privacy and confidentiality. 2014 IEEE.

Source

Proceedings of the 2014 Conference on IT in Business, Industry and Government: An International Conference by CSI on Big Data, CSIBIG 2014

Date

2014-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Anonymization; Confidentiality; Packetization; Privacy; Secure Multi-Party Computation (SMC); Security; Trusted third party (TTP)

Coverage

Shukla S., Department of Computer Science, Christ University, Bangalore, India; Sadashivappa G., R v College of Engineering, Mysore Road, Bangalore-59, India

Rights

Restricted Access

Relation

ISBN: 978-147993063-0

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/CSIBIG.2014.7056940

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