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Blockchain-Enabled Consensus Mechanisms for Data Integrity and Security in Edge and Cloud Computing Environments

  • Sachin Kacharu Korde,
  • Dhananjay Shripad Rakshe,
  • Deepak J. Salunke,
  • Sachin S. Bhosale,
  • Sanjay D. Jondhale,
  • Ganesh B. Kote

摘要

The “cloud computing” computer paradigm enables users to access resources such as software, hardware, and services over the internet. This provides users with more flexibility and convenience. The majority of users choose to store their data on the cloud since doing so safeguards both its security and integrity, both of which are very important. This article takes a look at the challenge of ensuring the data’s correctness and safety while it is being stored on the cloud. We are willing to take the duty of having a third-party auditor, also known as a TPA, who is hired with the objective of exposing threats related with cloud storage services, evaluate the data integrity of stored data in the cloud. This is being done in order to verify that the data is correct, and we are prepared to assume the obligation of doing so. App providers may store their data on a broad variety of geographically scattered edge servers to improve customer service in edge computing. The lack of data security in this environment is a significant issue, particularly given that the data that are kept in the EC environment are particularly susceptible to both purposeful and inadvertent manipulation. We start by doing an in-depth examination of the entities, threats, system objectives, and inspection approach in order to solve the problem with “edge data integrity” (EDI). The purpose of this architecture is to ensure that the real-time context data is kept intact inside the environment of the “Internet of Things” (IoT). Because the proposed architecture for distributed secure edge computing provides limitless repository capacity in addition to reliable access, it is well suited for scalable and secure transaction processing. The technology eliminates the demand for traditional centralized servers by using an architecture for edge computing that is similar to that of cloud computing. This architecture is meant to manage difficulties relating to both computation and security.