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Aleksandrova, EB, Lavrova, DS and Yarmak, AV (2019)

Benfordís Law in the Detection of DoS Attacks on Industrial Systems

Automatic Control and Computer Sciences 53(8), pp. 954Ė962.

ISSN/ISBN: Not available at this time. DOI: 10.3103/S0146411619080030



Abstract: Benfordís 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 Benfordís 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.


Bibtex:
@article{, author = {Aleksandrova, E.B. and Lavrova, D.S. and Yarmak, A.V.}, title = {Benfordís Law in the Detection of DoS Attacks on Industrial Systems}, year = {2019}, journal = {Automatic Control and Computer Sciences}, volume = {53}, number = {8}, pages = {954Ė-962}, doi = {10.3103/S0146411619080030}, }


Reference Type: Journal Article

Subject Area(s): Computer Science