Identification of Anomalies in the Operation of Telecommunication Devices Based on Local Signal Spectra
| Autor: | Ilya Lebedev, Viktor V. Semenov, Kseniya I. Salakhutdinova, Mikhail E. Sukhoparov |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
021110 strategic
defence & security studies Basis (linear algebra) Artificial neural network Computer science business.industry 0211 other engineering and technologies 02 engineering and technology Signal Identification (information) Control and Systems Engineering Signal Processing 0202 electrical engineering electronic engineering information engineering Industrial systems 020201 artificial intelligence & image processing Telecommunications business Software |
| Zdroj: | Automatic Control and Computer Sciences. 54:1001-1006 |
| ISSN: | 1558-108X 0146-4116 |
| DOI: | 10.3103/s0146411620080337 |
| Popis: | Telecommunication devices are becoming one of the critical elements of industrial systems. They are an attractive target for potential attackers. A method for identification of anomalies based on local signal spectra and using neural networks for evaluation is considered. An experiment is performed on the basis of statistical data on the loading of a computing device. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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