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

【Author】 Elisa, Noe; Yang, Longzhi; Chao, Fei; Naik, Nitin; Boongoen, Tossapon

【Source】IEEE ACCESS

【影响因子】3.476

【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.

【Keywords】E-Government; blockchain; artificial immune system; insider threat; privacy-preserving

【发表时间】2023

【收录时间】2023-03-09

【文献类型】实验仿真

【主题类别】

区块链应用-实体经济-政务领域