Security aware index based quasi–identifier approach for privacy preservation of data sets for cloud applications

Privacy preservation is a major task in cloud based applications. Many applications are built in the cloud for their economic benefits and operational convenience. The obtained information in the cloud is often seen as valuable for individuals through malicious intent. There is a lot of personal inf...

Full description

Saved in:
Bibliographic Details
Published in:Cluster computing 2020-12, Vol.23 (4), p.2579-2589
Main Authors: Sudhakar, Rayapati Venkata, Rao, T. Ch. Malleswara
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Cloud computing
Clustering
Computer Communication Networks
Computer Science
Cybersecurity
Datasets
Disclosure
Fuzzy sets
Methods
Operating Systems
Privacy
Processor Architectures
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Privacy preservation is a major task in cloud based applications. Many applications are built in the cloud for their economic benefits and operational convenience. The obtained information in the cloud is often seen as valuable for individuals through malicious intent. There is a lot of personal information and potentially secure data that people stored on their computers, and this information is generally transferred to the cloud. In this document, we propose an efficient index based quasi- identifier approach to ensure privacy preservation and achieve high data utility over incremental and distributed data sets. The modified Fuzzy C Means algorithm is used to construct the clusters by similarity. Anonymised data is retrieved by means of tuple partitioning in the data sets. Analysis results illustrate that the proposed method is more efficient for preserving privacy on incremental data sets than existing approaches. It is implemented in the working platform of Java.
ISSN:1386-7857
1573-7543
DOI:10.1007/s10586-019-03028-7