Protection of Personal Privacy Data with Enhanced Encryption & Revocation (PEER)

In light of frequent non-public statistics breaches, safeguarding such facts is now greater crucial than ever. By combining Ciphertext-Policy Attribute-Based Encryption (CP-ABE) with blockchain, stable facts storage and sharing are facilitated. However, in excessive-dimensional characteristic domains, existing schemes stumble upon issues like compromised safety, excessive computational overhead, and steeply-priced attribute revocation. This paper proposes a novel scheme to address those demanding situations. It includes 3 components: Fast High-dimensional Attribute Domain-based totally Message Encryption (HAD-FME) for more desirable protection and reduced computational charges, an Attribute Revocation Mechanism Based on Sentry Mode (SM-ARM) using clever contracts for green revocation, and a Blockchain-based totally Model for Personal Privacy Data Protection (BC-PPDP) integrating HAD-FME with SM-ARM. Security analysis confirms the effectiveness of HAD-FME beneath the DLIN assumption and the pride of forward and backward safety for attribute revocation. Experiments show advanced computational performance for HAD-FME and decrease revocation costs for SM-ARM as compared to present methods, with smart contracts and blockchain proving effective in making sure information safety and privateness.