Elisa, Noe, Yang, Longzhi, Chao, Fei, Naik, Nitin and Boongoen, Tossapon (2023) A Secure and Privacy-Preserving E-Government Framework Using Blockchain and Artificial Immunity. IEEE Access, 11. pp. 8773-8789. ISSN 2169-3536
|
Text
A_Secure_and_Privacy-Preserving_E-Government_Framework_Using_Blockchain_and_Artificial_Immunity.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (2MB) | Preview |
Official URL: https://doi.org/10.1109/ACCESS.2023.3239814
| Item Type: | Article |
|---|---|
| Additional Information: | Funding information: This work was supported in part by the Commonwealth Scholarship Commission under Grant CSC-TZCS-2017-717, and in part by the Royal Academy of Engineering Industry Academia Partnership Programme under Grant IAPP1\100077. |
| Uncontrolled Keywords: | E-Government, blockchain, artificial immune system, insider threat, privacy-preserving. |
| Subjects: | G400 Computer Science |
| Department: | Faculties > Engineering and Environment > Computer and Information Sciences |
| Depositing User: | Elena Carlaw |
| Date Deposited: | 10 Feb 2023 11:37 |
| Last Modified: | 10 Feb 2023 11:45 |
| URI: | https://nrl.northumbria.ac.uk/id/eprint/51373 |
Actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
