Article ; Online: A Blockchain-Based Verifiable User Data Access Control Policy for Secured Cloud Data Storage.
Computational intelligence and neuroscience
2022 Volume 2022, Page(s) 2254411
Abstract: Adding the adequate level of security of information systems dealing with sensitive data, privacy, or defense systems involves some form of access control. The audits performed are dealing with the determination of the allowed activities of the legal ... ...
Abstract | Adding the adequate level of security of information systems dealing with sensitive data, privacy, or defense systems involves some form of access control. The audits performed are dealing with the determination of the allowed activities of the legal users, when attempting to access resources of the system. Usually, full access is provided after the user has been successfully authenticated through an authentication mechanism (e.g., password), while the corresponding authorization control is based on the confidentiality level of the respective resources and the authorization level assigned to each user. A very important diversification occurring in modern digital technologies is related to the identification based on blockchain technology, which is presented as a public, distributed data series, unable to modify its history and grouped in time-numbered blocks. In this work, a blockchain-based verifiable user data access control policy for secured cloud data storage is suggested for a version associated with big data in health care. It is an innovative system of applying classified access policies to secure resources in the cloud, which operates based on blockchain technology. System evaluation is carried out by studying a case in its resilience to Eclipse attack under different malicious user capabilities for routing table poisoning. |
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MeSH term(s) | Blockchain ; Cloud Computing ; Computer Security ; Information Storage and Retrieval ; Policy |
Language | English |
Publishing date | 2022-04-27 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 2388208-6 |
ISSN | 1687-5273 ; 1687-5273 |
ISSN (online) | 1687-5273 |
ISSN | 1687-5273 |
DOI | 10.1155/2022/2254411 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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