Blockchain-Enabled Consensus Mechanisms for Data Integrity and Security in Edge and Cloud Computing Environments
Fred Torres‐Cruz, Shaikh Abdul Hannan, Anil Pandurang Gaikwad, Amruta. B. P, Meenakshi Pramod Jadhav, Bandi Bhaskar · 2023
The integrity and security of data have been growing more crucial as the quantity of data generated and maintained expands. The open-source characteristic of edge systems raises the risk of improper access to the data preserved on the system and a slew of security issues like the release of consumers' data security and a breakdown of integrity. The present security mechanism primarily confirms the individuality of the user or encrypted the data integrity of the information posted by the port, yet the function of confirmation is primarily believed by the system, and it is not possible to prevent the collaboration of the edge system with fraudulent activity. The blockchain serves a crucial part in protecting identities by addressing present technical difficulties such as scaling, non-tampering, reliability, data management, and openness. This work designs and implements a consensus mechanism, builds an edge cloud data integrity surveillance system, and proposes blockchain-based proof norms that accomplish depended on proof without depending on an impartial third party. In addition, a blockchain-based model framework for edge cloud computing data integrity security is being built to avoid data loss. The outcomes of the security proof and testing proof demonstrate that the blockchain-based consensus mechanism is capable of safeguarding in opposition to 3 cloud assistance supplier assaults, has better calculation, and minimizes the expense of storage while safeguarding the user's data integrity.