A Secure and Privacy-Preserving E-Government Framework using Blockchain and Artificial Immunity

Abstract

Electronic Government (e-Government) systems constantly provide greater services to people, businesses, organisations, and societies by offering more information, opportunities, and platforms with the support of advances in information and communications technologies. This usually results in increased system complexity and sensitivity, necessitating stricter security and privacy-protection measures. The majority of the existing e-Government systems are centralised, making them vulnerable to privacy and security threats, in addition to suffering from a single point of failure. This study proposes a decentralised e-Government framework with integrated threat detection features to address the aforementioned challenges. In particular, the privacy and security of the proposed e-Government system are realised by the encryption, validation, and immutable mechanisms provided by Blockchain. The insider and external threats associated with blockchain transactions are minimised by the employment of an artificial immune system, which effectively protects the integrity of the Blockchain. The proposed e-Government system was validated and evaluated by using the framework of Ethereum Visualisations of Interactive, Blockchain, Extended Simulations (i.e. eVIBES simulator) with two publicly available datasets. The experimental results show the efficacy of the proposed framework in that it can mitigate insider and external threats in e-Government systems whilst simultaneously preserving the privacy of information.

Publication DOI: https://doi.org/10.1109/ACCESS.2023.3239814
Divisions: College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies > Software Engineering & Cybersecurity
College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies
Aston University (General)
Additional Information: This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/. Funding: 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: Artificial immune systems,Artificial intelligence,Blockchains,Business,E-Government,Electronic government,Peer-to-peer computing,Privacy,artificial immune system,blockchain,insider threat,privacy-preserving,General Computer Science,General Materials Science,General Engineering,Electrical and Electronic Engineering
Publication ISSN: 2169-3536
Last Modified: 02 Dec 2024 08:49
Date Deposited: 07 Feb 2023 08:25
Full Text Link:
Related URLs: https://ieeexpl ... cument/10025716 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2023-01-30
Published Online Date: 2023-01-25
Accepted Date: 2023-01-12
Authors: Elisa, Noe
Yang, Longzhi
Chao, Fei
Naik, Nitin (ORCID Profile 0000-0002-0659-9646)
Boongoen, Tossapon

Download

[img]

Version: Published Version

License: Creative Commons Attribution

| Preview

Export / Share Citation


Statistics

Additional statistics for this record