Benford’s Law in the Detection of DoS Attacks on Industrial Systems
| Autor: | Daria S. Lavrova, Elena B. Aleksandrova, A. V. Yarmak |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
021110 strategic
defence & security studies Computer science 0211 other engineering and technologies Denial-of-service attack 02 engineering and technology computer.software_genre Experimental research Benford's law Control and Systems Engineering Signal Processing 0202 electrical engineering electronic engineering information engineering Industrial systems 020201 artificial intelligence & image processing Data mining computer Software |
| Zdroj: | Automatic Control and Computer Sciences. 53:954-962 |
| ISSN: | 1558-108X 0146-4116 |
| DOI: | 10.3103/s0146411619080030 |
| Popis: | Benford’s law describes the distribution of the first significant digits in numerical data characterizing real processes. In particular, it is widely used to detect anomalies in financial data. The paper proposes application of Benford’s law to detect DoS attacks on large-scale industrial system components. The results of experimental research are given for the data generated by sensors within the Tennessee Eastman process. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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