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المؤلفAL-Dosari, Khalifa
المؤلفFetais, Noora
المؤلفKucukvar, Murat
تاريخ الإتاحة2023-06-25T05:13:31Z
تاريخ النشر2022-08-23
اسم المنشورCybernetics and Systems
المعرّفhttp://dx.doi.org/10.1080/01969722.2022.2112539
الاقتباسAL-Dosari, K., Fetais, N., & Kucukvar, M. (2022). Artificial Intelligence and Cyber Defense System for Banking Industry: A Qualitative Study of AI Applications and Challenges. Cybernetics and Systems, 1-29.
الرقم المعياري الدولي للكتاب0196-9722
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85136601460&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/44692
الملخصCyberattacks are becoming more and more intense in the banking industry (Ryzhkova et al. 2020). Banking industry is trying to adopt artificial intelligence to create cyber defence system so that the unauthorized access and cyber attacks would be minimized. Banks in Qatar acknowledge the threat of cybercrimes and the role of cybersecurity in sustainable growth. Meanwhile, the banking industry is experiencing a major technological disruption. It becomes important to understand the implications of such technologies as artificial intelligence (AI) on the cybersecurity of banks. The present paper aims to explore the impacts of AI on the cybersecurity of banks in Qatar. A thematic analysis of interviews of 9 experts in the banking industry of Qatar was conducted. A qualitative thematic analysis was conducted using NVIVO 12 tool. Four key themes were identified: (1) AI is a major tool for enhancing the cybersecurity of banks in Qatar; (2) banks face challenges in using AI for improving cybersecurity; (3) AI can be used destructively and thus poses a threat to cybersecurity in banks of Qatar; (4) employed AI-based tools have vulnerabilities that can be exploited. Overall, Qatar banks can be expected to face new challenges in the future, due to changes in regulatory frameworks and increasing availability of AI-powered malware.
اللغةen
الناشرTaylor & Francis
الموضوعAI powered-malware
artificial intelligence
cyberattack patterns
decision-making
fin tech
machine learning
العنوانArtificial Intelligence and Cyber Defense System for Banking Industry: A Qualitative Study of AI Applications and Challenges
النوعArticle
الصفحات1-29
ESSN1087-6553


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