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.
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