Enhanced Transactional Blockchain Data Access Control via Fog Computing and Multilevel Aggregation Encryption
Leon Wirz, Pattarasinee Bhattarakosol · 2024
Despite the praise for blockchain technology's auditability, security, and decentralization, safeguarding Personally Identifiable Information (PII) continues to pose a challenge, especially in the field of financial transactions. Existing schemes often fail to effectively balance security with efficiency, fine-grained access control, and distributed processing. Many approaches either sacrifice performance for enhanced security or struggle with the complexity of managing fine-grained access in a decentralized manner. To address these shortcomings, a novel schema is proposed that integrates Ciphertext-Policy Attribute-Based Encryption (CP-ABE) with a lightweight fog layer to offload heavy cryptographic operations. This solution reduces policy tree complexity and mitigates side-channel attacks through a multi-layer encryption model. The approach enhances data confidentiality with minimal impact on transaction performance, offering a more secure, efficient, and distributed solution. This research validates the design with mathematical proof and performance comparisons against existing implementations.