AI-Enhanced Network Segmentation and Traffic Flow Analysis for Critical Infrastructure Security

Authors

  • Sowmya Gudekota Independent Researcher, USA Author

Keywords:

AI-enhanced network segmentation, traffic flow analysis, cybersecurity, critical infrastructure, machine learning, threat detection

Abstract

Businesses must defend critical infrastructure as cyberattacks become more common and complex. In critical infrastructure security, AI-enhanced network segmentation and traffic flow analysis are considered. Network fragmentation protects important systems from risks. AI-driven traffic flow analysis improves real-time cyber intrusion detection by detecting and responding to anomalies. AI detects and adapts to new network security threats. The research describes processes.

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Published

10-06-2019

How to Cite

[1]
Sowmya Gudekota, “AI-Enhanced Network Segmentation and Traffic Flow Analysis for Critical Infrastructure Security”, American J Cognit Comput AI Syst, vol. 3, pp. 39–44, Jun. 2019, Accessed: Jul. 29, 2026. [Online]. Available: https://ajccai.org/index.php/publication/article/view/25