metricas
covid
Buscar en
Journal of Innovation & Knowledge
Toda la web
Inicio Journal of Innovation & Knowledge Towards a conceptual framework for AI-driven anomaly detection in smart city IoT...
Journal Information

Statistics

Follow this link to access the full text of the article

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
Read
150
Times
was read the article
34
Total PDF
116
Total HTML
Share statistics
Article information
ISSN: 2444569X
Original language: English
The statistics are updated each day
Year/Month Html Pdf Total
2024 December 54 10 64
2024 November 62 24 86

Follow this link to access the full text of the article