Review of Techniques for Privacy-Preserving Blockchain Systems

Abstract

Privacy plays a central role in many application domains that utilize blockchain technology. It is central in Personal Data Management, Electronic Health records, or systems that interact with any public institution. However, blockchains are subject to potential privacy issues such as transaction linkability, compliance with data protection regulations, on-chain data privacy, and malicious smart contracts. To deal with these challenges, novel privacy-preserving solutions based on crypto-privacy techniques are emerging. The goal of this survey is to provide insights into the privacy-preserving techniques associated with blockchain. We analyse the existing privacypreserving mechanisms for blockchain and propose a framework that categorizes the main techniques examined. Furthermore, we summarize some typical applications of blockchain where the privacy protection is the main requirement. CCS CONCEPTS • General and reference → Surveys and overviews; Evaluation; • Security and privacy → Cryptography; Privacy-preserving protocols; Cryptanalysis and other attacks; • Software and its engineering → Peer-to-peer architectures; • Social and professional topics → Identity theft.

Efficient and Secure Distributed Data Storage and Retrieval Using Interplanetary File System and Blockchain

“…[16] focuses on the role of these techniques in preserving data privacy in decentralized systems and on the importance of a balance between accessibility and security. In [17], the authors delve into privacy-preserving approaches such as zero-knowledge proofs and homomorphic encryption. These studies emphasize the development of techniques that secure data without compromising privacy.…”

Comprehensive Framework for Implementing Blockchain-enabled Federated Learning and Full Homomorphic Encryption for Chatbot security System

“…Form another hand, full homomorphic encryption can support encrypted image processing, For example chatbot get the image from user and forward it to deep learning model for further processing and the result is transmitted back to chatbot to be displayed for user accordingly [73]. So the implementation of FHE can improve data security/privacy during transmission between user and chatbot [74].…”

“…Data collection and analysis performed by Nasir Ahmad Jalali and Professor Chen Hongsong provide supervision as well as reviewed the paper for quality improvement. blockchain and data blocks structure [52] Figure 8 Homomorphic encryption operational structure [74] Figure 9 Main framework to enhance chatbot security and privacy Accuracy between centralized and distributed (FL)…”

Security Aspects of Blockchain Technology Intended for Industrial Applications

“…Such networks are favored when an organization wants a blockchain with access and participation of some members. Additionally, no person can have the right to access the data or participate in transactions within the blockchain [43]. Such a blockchain is controlled by the organizations themselves and can be used for protecting the assets of customers; managing digital identities supply chains, etc.…”