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Journal of Innovation & Knowledge Towards a conceptual framework for AI-driven anomaly detection in smart city IoT...
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Towards a conceptual framework for AI-driven anomaly detection in smart city IoT networks for enhanced cybersecurity
Heng Zenga,b,
Corresponding author
myth3085@sina.com

Corresponding author.
, Manal Yunisc, Ayman Khalilc, Nawazish Mirzad
a Business School, Hubei University, Wuhan 430062, China
b Open Economy Research Center, Wuhan 430062, China
c Department of Information Technology and Operations Management, Adnan Kassar School of Business, Lebanese American University, Beirut, Lebanon
d Excelia Business School, CERIIM, France
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ISSN: 2444569X
Original language: English
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