Cryptography for Data Privacy in Social Networks

Abstract

With the proliferation of social networks, user data is increasingly vulnerable to unauthorized access, profiling, and data breaches. Cryptography has emerged as a critical defense mechanism to ensure data confidentiality, integrity, and user privacy. This paper explores the application of modern cryptographic techniques—such as homomorphic encryption, zero-knowledge proofs, and attribute-based encryption—to enhance privacy controls within social networking platforms. It further highlights the challenges of balancing usability with security and presents solutions for deploying cryptographic protocols in dynamic, large-scale environments like Facebook, Twitter, and LinkedIn. The paper concludes with future directions for integrating decentralized privacy models using blockchain-based cryptographic frameworks.