Cyberattack Detection in the Industrial Internet of Things Based on the Computation Model of Hierarchical Temporal Memory

This study considers the problem of detecting network anomalies caused by computer attacks in the networks of the industrial Internet of things. To detect anomalies, a new method is proposed, built using a hierarchical temporal memory (HTM) computation model based on the neocortex model. An experime...

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Veröffentlicht in:	Automatic control and computer sciences 2023-12, Vol.57 (8), p.1040-1046
Hauptverfasser:	Krundyshev, V. M., Markov, G. A., Kalinin, M. O., Semyanov, P. V., Busygin, A. G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Cerebral cortex Computation Computer Science Control Structures and Microprogramming Industrial applications Internet of Things
Online-Zugang:	Volltext
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