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Volume - 6 | Issue - 1 | march 2024

Optimizing E-Government Cybersecurity through Artificial Intelligence Integration Open Access
Rahul Kumar Jha  , Mona Jha  182
Pages: 67-87
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Cite this article
Jha, Rahul Kumar, and Mona Jha. "Optimizing E-Government Cybersecurity through Artificial Intelligence Integration." Journal of Trends in Computer Science and Smart Technology 6, no. 1 (2024): 67-87
Published
17 April, 2024
Abstract

This study explores the integration of Artificial Intelligence (AI) into e-governance cybersecurity, focusing on its key insights, contributions, challenges, and future directions. AI-powered cybersecurity systems offer advanced capabilities in threat detection, response, and scalability, improving the protection of critical infrastructure and sensitive data in government digital services. However, ethical considerations such as transparency, fairness, and accountability, as well as challenges related to algorithm biases, data privacy, and cybersecurity skills gap, must be addressed to ensure responsible and effective use of AI technologies. Recommendations for policymakers, government agencies, and researchers are provided to maximize the benefits of AI while mitigating potential risks and enhancing e-governance cybersecurity resilience in the digital age.

Keywords

E-Governance Cybersecurity Artificial Intelligence (AI) Threat Detection Incident Response Data Protection

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