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Jonas, Dendy
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Control & Systems Engineering Social Sciences

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Journal : International Transactions on Education Technology (ITEE)

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Enhancing Security Frameworks with Artificial Intelligence in Cybersecurity Jonas, Dendy; Aprila Yusuf, Natasya; Rahmania Az Zahra, Achani
International Transactions on Education Technology (ITEE) Vol. 2 No. 1 (2023): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v2i1.428

Abstract

Cybersecurity, in the digital era we live in today, has become a major concern that demands innovation. Data Science and Artificial Intelligence (AI) have played a central role in changing the way we understand and address cyber threats. This research will review the important role of innovation in this technology in improving an organization's ability to detect, prevent, and respond to cyber attacks. Identifying patterns and gaining insights from security events in cyber data, while developing appropriate data-based models, is a key element in realizing automated and intelligent security systems. This research reviews needs in the cyber security domain that can be addressed through Artificial Intelligence (AI) techniques. In this study, we employed quantitative methods to assess the impact of artificial intelligence on enhancing cybersecurity by distributing questionnaires to 85 respondents, which included companies operating in the banking and IT sectors. In addition, this research will explore how data-based intelligent decision-making systems are able to protect systems from known and unknown cyber attacks. This research will conclude by considering the future potential of Artificial Intelligence and cybersecurity.
Co-Authors Aprila Yusuf, Natasya Ferry Sudarto, Ferry Kusumah, Hendra Rahmania Az Zahra, Achani Sohir, Satrio Pramudito Sunandar, Endang