Privacy Preserved Data Sharing With SpinalNet Based Key Generation in Consortium Blockchain

Abstract

Electronic government (e-government) is the application of communication and information technologies aimed at improving the efficiency of public services provided to citizens and organizations. The e-government is a most complicated system that requires to be distributed, protected as well as privacy-preserved and malfunction of these systems is expensive both socially and economically. Therefore, blockchain technology facilitates the execution of high protected as well as privacy-preserving approaches wherein transactions are not underneath a third party control managements. Utilizing blockchain technology, current data and fresh data are saved in the sealed compartment of blocks that is distributed across a network in demonstrable manner. The information privacy and security are improved by blockchain technology, wherein data are distributed and encrypted across whole network. Here, SpinalNet_KeyGen is newly presented for privacy-preserved data sharing (PPDS) in e-governance system. The entities considered in this research are citizen, private agency, government agency (GA) and support GA. Initialization, delegates and witness voting, key generation wherein secret key is generated using SpinalNet, new node creation, user registration, data encryption and protection, authentication, decryption, validation and data sharing are the steps followed in this work. The devised scheme follows three groups of communication. Moreover, SpinalNet_KeyGen achieved minimal values of computational time and memory usage about 37.526 s and 37.9 MB. However, it is difficult to consider all security parameters in the proposed method.