Combined approach of tokenization and mining to secure and optimize big data in cloud storage

Shanto Roy, Ahmedur Rahman Shovon, Md Whaiduzzaman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Citations (Scopus)

Abstract

The era of technology is now shifting towards the Cloud Computing and today's computation tends to be provisioned as a service rather than a product. Recently Cloud Computing has become more portable and flexible in such way so that we call it having a super computer in our pockets. Despite the potential application of cloud computing, data security is still questionable in privacy issue due to insider threats and data breaches. After the internet of things (IoT) emerges, in Big data arena both data security and storage optimization at the same time has been a crying need. In this paper, we propose an enhanced framework of security model including tokenization with a view to eradicating the privacy issue of sensor data and ensuring storage optimization. Tokenization provides a wider range of security by protecting data from malicious insider threats or data breaches in cloud. Our proposed tokenization process optimizes cloud storage instances as well with a little prior mining in order to convert large data sets into small ones.

Original languageEnglish
Title of host publication5th IEEE Region 10 Humanitarian Technology Conference 2017, R10-HTC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages83-88
Number of pages6
ISBN (Electronic)9781538621752
DOIs
Publication statusPublished - 9 Feb 2018
Event5th IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2017 - Dhaka, Bangladesh
Duration: 21 Dec 201723 Dec 2017

Publication series

Name5th IEEE Region 10 Humanitarian Technology Conference 2017, R10-HTC 2017
Volume2018-January

Conference

Conference5th IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2017
Country/TerritoryBangladesh
CityDhaka
Period21/12/1723/12/17

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