Privacy-Preserving Solutions for Blockchain: Review and Challenges

By Jorge Bernal Bernabé, José Luis Cánovas, José Luis Hernández-Ramos, Rafael Torres Moreno, A. Skarmeta. IEEE Access, 2019

330 citations recorded by the source corpus.

Blockchains offer a decentralized, immutable and verifiable ledger that can record transactions of digital assets, provoking a radical change in several innovative scenarios, such as smart cities, eHealth or eGovernment. However, blockchains are subject to different scalability, security and potential privacy issues, such as transaction linkability, crypto-keys management (e.g. recovery), on-chain data privacy, or compliance with privacy regulations (e.g. GDPR). To deal with these challenges, novel privacy-preserving solutions for blockchain based on crypto-privacy techniques are emerging to empower users with mechanisms to become anonymous and take control of their personal data during their digital transactions of any kind in the ledger, following a Self-Sovereign Identity (SSI) model. In this sense, this paper performs a systematic review of the current state of the art on privacy-preserving research solutions and mechanisms in blockchain, as well as the main associated privacy challenges in this promising and disrupting technology. The survey covers privacy techniques in public and permissionless blockchains, e.g. Bitcoin and Ethereum, as well as privacy-preserving research proposals and solutions in permissioned and private blockchains. Diverse blockchain scenarios are analyzed, encompassing, eGovernment, eHealth, cryptocurrencies, Smart cities, and Cooperative ITS.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/3c1c104b792a50b0ea83d965cf8632d27b57bb48

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Benjamin P. Turnbull
2. Nour Moustafa
3. Kim-Kwang Raymond Choo
4. Thippa Reddy Gadekallu
5. Quoc-Viet Pham
6. Dinh C. Nguyen
7. Sweta Bhattacharya
8. Pubudu N. Pathirana

In Information Systems

1. Dinh C. Nguyen
2. Pubudu N. Pathirana
3. Kim-Kwang Raymond Choo
4. Nour Moustafa

Citations in the corpus

• A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions (2020, background): “[71] Data privacy preservation.”
• A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks (2021, methodology): “In addition to the discovery of attack events using CIDSs in the cloud, privacy-preserving techniques are widely used to transform, alter, or conceal original data for protecting them from unauthorized access [11].”