Blockchain-Enabled Secure Data Sharing with Honey Encryption and DSNN-Based Key Generation

Blockchain-Enabled Secure Data Sharing with Honey Encryption and DSNN-Based Key Generation

Blog Article

Ensuring data confidentiality is a critical requirement for modern security systems globally.Despite the implementation of various access-control policies to enhance system security, significant threats persist due to insecure and inadequate access management.To address this, Multi-Party Authorization (MPA) systems employ multiple authorities for authorization and authentication, utilizing blockchain technology to store and access data securely, ensuring immutable and trusted audit trails.In this work, we propose a hybrid key-generation approach called the Identity and Attribute-Based Honey Encryption (IABHE) Algorithm combined with Deep Spiking Neural Network (DSNN) denoted here by IABHE+DSNN for secure data sharing in a multi-party blockchain-based system.

This approach incorporates various entities and multiple security functionalities to ensure data security.The data-sharing process involves several steps: initialization, authentication, initial registration, data protection, validation, and data sharing.Data protection is executed within the MapReduce framework, with sten jacket m data encryption performed using IABHE and key generation managed by DSNN.Experimental results demonstrate that the proposed IABHE+DSNN approach achieves a decryption time of 10.

786 s, an encryption time of 15.765 s, and a key complexity of 0.887, outperforming existing methods.