Title: Privacy protection of Users’ Data in Social Network Systems based on Homomorphic Cryptography Techniques

Issue Number: Vol. 7, No. 4
Year of Publication: Dec - 2018
Page Numbers: 463-479
Authors: Kosmas Kapis, Maduhu Mshangi
Journal Name: International Journal of Cyber-Security and Digital Forensics (IJCSDF)
- Hong Kong
DOI:  http://dx.doi.org/10.17781/P002533

Abstract:


The use of social network systems (SNS) for interacting and sharing information across the globe has led to new vulnerabilities and cyber threats which results to privacy violation in SNS such as Facebook, Twitter, LinkedIn and the other likes. This paper presents an innovative approach for addressing privacy violation of users’ data in SNS based on homomorphic cryptography techniques. It employed divide and conquers, use case analysis, controlled experiment, Big O notation and homomorphic cryptography techniques. The study proposes an algorithm for privacy protection of users’ data in SNS based on homomorphic cryptography techniques. The performance analysis of the proposed solution was performed using Big O notation and controlled experiment. It has a time complexity of O(n2 ) . It has an execution time of shorter than 0.094 seconds for keys size of at most 1024 bit. Thus, the proposed solution can be used in the real-world environment for privacy protection of users’ data in SNS. This research contributes security requirements for privacy protection of users’ data in SNS using modern cryptography techniques. Additionally, it contributes empirical evidence for privacy protection of users’ data in SNS using homomorphic cryptography techniques.