9004 Problems of information security. Computer systems Проблемы информационной безопасности. Компьютерные системы 2071-8217 12 10.48612/jisp/b5fk-dug5-3g37 Application of the neocortex model to detect contextual anomalies in network traffic of the industrial Internet of Things Применение модели неокортекса для выявления контекстуальных аномалий в сетевом трафике промышленного Интернета вещей Markov Georgy Jet Infosystems 08 06 2023 2 140 149

The paper investigates the problem of detecting network anomalies in the processing of data streams in industrial systems. The network anomaly is understood as the malicious signature and the current context: the network environment and topology, routing parameters and node characteristics. As a result of the study, it was proposed to use a neocortex model that supports the memory mechanism to detect network anomalies

 hierarchical temporary memory artificial intelligence contextual anomalies machine learning neocortex industrial internet of thighs network traffic HTM