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Data Security for Connected Governments and Organisations: Managing Automation and Artificial Intelligence
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Author(s): Heru Susanto (The Indonesian Institute of Sciences, Indonesia & Brunei University of Technology, Indonesia), Leu Fang Yie (Computer Science Department, Tunghai University, Taiwan), Didi Rosiyadi (The Indonesian Institute of Sciences, Indonesia), Akbari Indra Basuki (The Indonesian Institute of Sciences, Indonesia)and Desi Setiana (Universiti Brunei Darussalam, Brunei)
Copyright: 2021
Pages: 23
Source title:
Web 2.0 and Cloud Technologies for Implementing Connected Government
Source Author(s)/Editor(s): Zaigham Mahmood (University of Northampton, UK & Shijiazhuang Tiedao University, China)
DOI: 10.4018/978-1-7998-4570-6.ch011
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Abstract
Digital ecosystems have grown rapidly over the years, and governments are investing in digital provision for their processes and services. Despite the advantages of distributed technologies, there are many security issues as well that result in breaches of data privacy with serious impact including legal and reputational implications. To deal with such threats, government agencies need to thoughtfully improve their security defences to protect data and systems by using automation and artificial intelligence (AI), as well as easing the data security measures including early warning of threats and detection. This study provides a comprehensive view of AI and automaton to highlight challenges and issues concerning data security and suggests steps to combat the issues. The authors demonstrate the role of AI-driven security tools and automation to mitigate the impact of data breaches to also propose recommendations for government agencies to enhance their data security protection.
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