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Explainable Artificial Intelligence as a Cybersecurity Aid
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Author(s): Ruchi Doshi (Universidad Azteca, Mexico)and Kamal Kant Hiran (Symbiosis University of Applied Sciences, India)
Copyright: 2024
Pages: 16
Source title:
Advances in Explainable AI Applications for Smart Cities
Source Author(s)/Editor(s): Mangesh M. Ghonge (Sandip Institute of Technology and Research Centre, India), Nijalingappa Pradeep (Bapuji Institute of Engineering and Technology, India), Noor Zaman Jhanjhi (School of Computer Science, Faculty of Innovation and Technology, Taylor’s University, Malaysia)and Praveen M. Kulkarni (Karnatak Law Society's Institute of Management Education and Research (KLS IMER), Belagavi, India)
DOI: 10.4018/978-1-6684-6361-1.ch003
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Abstract
Within the span of just a few short years, artificial intelligence (AI) methods have spread across every facet of modern society. Even though AI models produce results, those results are often not easily explicable. XAI, or “explainable artificial intelligence,” is a rapidly expanding area of study that aims to maximise the clarity of data extraction and visualisation processes. At the heart of the current investigation is an examination of the connections between cybersecurity and the application of XAI. The increasingly sophisticated and automated nature of attacks necessitates similarly mechanised approaches to defence. Due to its unique characteristics, XAI is suitable for this purpose. Cybersecurity is the practise of safeguarding computer systems, networks, and software from intrusion. An enormous amount of hope rests on the shoulders of XAI for foreseeing such assaults.
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