Automatic Control and Computer Sciences 53(8), pp. 954–962.
ISSN/ISBN: Not available at this time. DOI: 10.3103/S0146411619080030
Abstract: 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.
Bibtex:
@article{,
author = {Aleksandrova, E.B. and Lavrova, D.S. and Yarmak, A.V.},
title = {Benford’s Law in the Detection of DoS Attacks on Industrial Systems},
year = {2019},
journal = {Automatic Control and Computer Sciences},
volume = {53},
number = {8},
pages = {954–-962},
doi = {10.3103/S0146411619080030},
}
Reference Type: Journal Article
Subject Area(s): Computer Science