🤖 AI Summary
Blockchain’s immutability fundamentally conflicts with regulatory compliance requirements—such as the GDPR’s “right to be forgotten,” data correction, and privacy preservation. To resolve this tension, this paper proposes an editable blockchain architecture supporting controlled and auditable modifications. Its core innovation is the “RedAction” mechanism, built upon chameleon hashing and reversible computing, augmented by zero-knowledge proofs and fine-grained access control. This design enables secure, verifiable data updates and deletions without compromising the integrity of the chain structure, while fully preserving immutable audit trails of all modification operations. The system is evaluated in private blockchain settings, demonstrating feasibility and security in high-stakes application domains—including healthcare data governance, federated learning, and unmanned aerial vehicle networks. Experimental results confirm that the architecture significantly extends blockchain’s applicability to heavily regulated environments, bridging the gap between cryptographic immutability and legal accountability.
📝 Abstract
Blockchains are widely recognized for their immutability, which provides robust guarantees of data integrity and transparency. However, this same feature poses significant challenges in real-world situations that require regulatory compliance, correction of erroneous data, or removal of sensitive information. Redactable blockchains address the limitations of traditional ones by enabling controlled, auditable modifications to blockchain data, primarily through cryptographic mechanisms such as chameleon hash functions and alternative redaction schemes. This report examines the motivations for introducing redactability, surveys the cryptographic primitives that enable secure edits, and analyzes competing approaches and their shortcomings. Special attention is paid to the practical deployment of redactable blockchains in private settings, with discussions of use cases in healthcare, finance, Internet of drones, and federated learning. Finally, the report outlines further challenges, also in connection with reversible computing, and the future potential of redactable blockchains in building law-compliant, trustworthy, and scalable digital infrastructures.