A Secure and Privacy-Preserving Approach to Protect User Data across Cloud based Online Social Networks

The tremendous growth of social networking systems enables the active participation of a wide variety of users. This has led to an increased probability of security and privacy concerns. In order to solve the issue, the article defines a secure and privacy-preserving approach to protect user data ac...

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Bibliographic Details
Published inInternational journal of grid and high performance computing Vol. 12; no. 2; pp. 1 - 24
Main Authors Neelu khare, Kumaran U
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 01.04.2020
Subjects
Access control
Big Data
Cloud computing
Data encryption
Data integrity
Data mining
Graph theory
High performance computing
Literature reviews
Personal information
Privacy
Social networks
Third party
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Summary:The tremendous growth of social networking systems enables the active participation of a wide variety of users. This has led to an increased probability of security and privacy concerns. In order to solve the issue, the article defines a secure and privacy-preserving approach to protect user data across Cloud-based online social networks. The proposed approach models social networks as a directed graph, such that a user can share sensitive information with other users only if there exists a directed edge from one user to another. The connectivity between data users data is efficiently shared using an attribute-based encryption (ABE) with different data access levels. The proposed ABE technique makes use of a trapdoor function to re-encrypt the data without the use of proxy re-encryption techniques. Experimental evaluation states that the proposed approach provides comparatively better results than the existing techniques.
ISSN:1938-0259
1938-0267
DOI:10.4018/IJGHPC.2020040101