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July 7, 2025· Journal of Machine Learning and Applications
article

Privacy-preserving consensus mechanisms for anonymous decentralized social media: A blockchain-based paradigm for anonymity

Authors:Rinku Raheja *

Abstract

The increase of decentralized social media systems provides them with liberty and openness, yet tends to interfere with privacy because transaction data is made publicly accessible in blockchains. In this paper, a Privacy-Preserving Consensus Mechanism (PPCM) has been proposed as a privacypreserving blockchain in anonymous decentralized social media systems. To preserve the confidentiality and integrity of transactions, the PPCM incorporates the advanced cryptography solutions, Zero-Knowledge Proofs (ZKPs), Homomorphic Encryption, and ring signatures. It utilizes a Decentralized Identity (DID) model of self-sovereign identity management and cross-platform nteroperability, and overlays a reputation-based layer of governance to encourage ethical behaviour without disclosing the identity of users. Scalability is ensured with sidechains, which remove high-frequency interaction points of the main blockchain to minimize latency. The model is a compromise between privacy and accountability and solves such issues as Sybil attacks, metadata leakage, and unethical use of anonymity. The PPCM offers a privacy-focused, scalable, and ethically regulated design of next-generation decentralized social media networks.

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