A Secure and Privacy-Preserving E-Government Framework Using Blockchain and Artificial Immunity
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 increas...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10025716/ |
| _version_ | 1797938795238129664 |
|---|---|
| author | Noe Elisa Longzhi Yang Fei Chao Nitin Naik Tossapon Boongoen |
| author_facet | Noe Elisa Longzhi Yang Fei Chao Nitin Naik Tossapon Boongoen |
| author_sort | Noe Elisa |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T19:06:25Z |
| format | Article |
| id | doaj.art-2681ddb127e6426eaab94f5650dc8462 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-10T19:06:25Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-2681ddb127e6426eaab94f5650dc84622023-01-31T00:00:24ZengIEEEIEEE Access2169-35362023-01-01118773878910.1109/ACCESS.2023.323981410025716A Secure and Privacy-Preserving E-Government Framework Using Blockchain and Artificial ImmunityNoe Elisa0Longzhi Yang1https://orcid.org/0000-0003-2115-4909Fei Chao2Nitin Naik3https://orcid.org/0000-0002-0659-9646Tossapon Boongoen4https://orcid.org/0000-0002-2874-1922Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K.Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K.Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, ChinaSchool of Informatics and Digital Engineering, Aston University, Birmingham, U.K.School of Information Technology, Mae Fah Luang University, Chaing Rai, ThailandElectronic 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.https://ieeexplore.ieee.org/document/10025716/E-Governmentblockchainartificial immune systeminsider threatprivacy-preserving |
| spellingShingle | Noe Elisa Longzhi Yang Fei Chao Nitin Naik Tossapon Boongoen A Secure and Privacy-Preserving E-Government Framework Using Blockchain and Artificial Immunity IEEE Access E-Government blockchain artificial immune system insider threat privacy-preserving |
| title | A Secure and Privacy-Preserving E-Government Framework Using Blockchain and Artificial Immunity |
| title_full | A Secure and Privacy-Preserving E-Government Framework Using Blockchain and Artificial Immunity |
| title_fullStr | A Secure and Privacy-Preserving E-Government Framework Using Blockchain and Artificial Immunity |
| title_full_unstemmed | A Secure and Privacy-Preserving E-Government Framework Using Blockchain and Artificial Immunity |
| title_short | A Secure and Privacy-Preserving E-Government Framework Using Blockchain and Artificial Immunity |
| title_sort | secure and privacy preserving e government framework using blockchain and artificial immunity |
| topic | E-Government blockchain artificial immune system insider threat privacy-preserving |
| url | https://ieeexplore.ieee.org/document/10025716/ |
| work_keys_str_mv | AT noeelisa asecureandprivacypreservingegovernmentframeworkusingblockchainandartificialimmunity AT longzhiyang asecureandprivacypreservingegovernmentframeworkusingblockchainandartificialimmunity AT feichao asecureandprivacypreservingegovernmentframeworkusingblockchainandartificialimmunity AT nitinnaik asecureandprivacypreservingegovernmentframeworkusingblockchainandartificialimmunity AT tossaponboongoen asecureandprivacypreservingegovernmentframeworkusingblockchainandartificialimmunity AT noeelisa secureandprivacypreservingegovernmentframeworkusingblockchainandartificialimmunity AT longzhiyang secureandprivacypreservingegovernmentframeworkusingblockchainandartificialimmunity AT feichao secureandprivacypreservingegovernmentframeworkusingblockchainandartificialimmunity AT nitinnaik secureandprivacypreservingegovernmentframeworkusingblockchainandartificialimmunity AT tossaponboongoen secureandprivacypreservingegovernmentframeworkusingblockchainandartificialimmunity |