A RELIABILITY GUARANTEED SOLUTION FOR DATA STORING AND SHARING
Paper Key : IRJ************293
Author: Meena Kumari.m
Date Published: 06 Nov 2022
Digital data certified by a reputable organization are valuable digital data that can be stored or shared on the internet. How to ensure the anonymity of organizations on issued certificates. How to ensure that valuable digital data are securely stored in the system. How could people verify the reliability of shared data while still ensuring the confidentiality of its content, and how to ensure that the data sharing process is safe, transparent, and fair? Therefore, we propose data producing, data storing, and data sharing schemas. In the data producing schema, we deploy a group signature scheme for a group of reputable organizations that provide the same type of service, an organization in the group generates a valuable digital data from raw data sent from a data owner and then issues a certificate on the ciphertext of this digital data. In the data storing schema, the data owner uploads hisher data to the public Inter-Planetary File System network and then stores the access address of the stored data and the corresponding certificate on the blockchain. In the data sharing schema, everyone on the system could verify the reliability of shared data before sending a data sharing request to the data owner. The data sharing process is performed via a smart contract, and involved parties have to escrow to encourage honesty. The schemas of data storing and sharing guarantee the security properties including confidentiality, integrity, privacy, non-repudiation, andanonymity. Two different key shares for each of the users are generated, with the user only getting one share. The possession of a single share of a key allows the methodology to counter the insider threats. The other key share is stored by a trusted third party, which is called the cryptographic server methodology is applicable to conventional and mobile cloud computing of cloud suppliers is Data Security, Sharing, Resource scheduling.