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Smart Economy Cybersecurity: AI-Driven Risk Management in Digital Markets
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Author(s): Ali Bakhshi Movahed (Iran University of Science and Technology, Iran), Amirhossein Ghasemi Abyaneh (Kharazmi University, Iran), Masoud Khakbazan (Iran University of Science and Technology, Iran)and Aminmasoud Bakhshi Movahed (Iran University of Science and Technology, Iran)
Copyright: 2025
Pages: 24
Source title:
Dynamic and Safe Economy in the Age of Smart Technologies
Source Author(s)/Editor(s): Hamed Nozari (Independent Researcher, Australia)
DOI: 10.4018/979-8-3693-4369-2.ch004
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Abstract
Integrating AI, IoT, and cloud computing into smart economies has boosted digital efficiency but introduced cybersecurity vulnerabilities like AI-driven phishing, deepfake fraud, and malware. This study explores AI-driven risk management in mitigating such threats through a meta-synthesis of existing literature. Findings reveal that traditional security models are insufficient against adaptive AI attacks, necessitating autonomous solutions like self-healing networks, AI threat detection, and behavioral analytics. Regulatory frameworks also lag, highlighting the need for global standards and ethical AI governance. Critical gaps include limited predictive AI models, regulatory oversight, and standardized policies. The study proposes an integrated AI cybersecurity framework combining innovation, compliance, and public-private collaboration. It concludes that AI-driven solutions and robust governance are vital for cyber resilience, urging future research on AI ethics, predictive risk models, and global standards to counter emerging threats.
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