CLASSIC ARTIFICIAL INTELLIGENCE METHODS FOR CYBER SECURITY IN SMART CITY

Authors : Dr. E. LOGASHANMUGAM

part of The Research Monograph Series in Computing, Electrical & Communication Networks book series

Notes

Artificial intelligence (AI) can play a critical role in addressing cyber security challenges in smart cities. Here are some classic AI methods that can be used for cyber security in smart cities: Machine Learning: Machine learning algorithms can analyze data and learn patterns to identify anomalies and potential security threats. In smart cities, machine learning can be used to detect unusual behavior on the network, such as unauthorized access to sensors or data. Neural Networks: Neural networks can learn from vast amounts of data to identify patterns and make predictions. In cyber security, neural networks can be used to detect and prevent cyber-attacks in real-time. Expert Systems: Expert systems use knowledge-based rules and decision trees to make decisions. In cyber security, expert systems can be used to monitor network traffic and identify potential threats based on known attack patterns.

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Dr. E. LOGASHANMUGAM

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