Study of Mail Traffic Distribution Functions for Seasonality Hypothesis Confirmation
Abstract
In this paper, mail traffic distribution functions are studied using various statistical methods. Streams of unwanted e-mail messages (spam) and legitimate mail traffic are studied separately. The current state of the problem and similar studies are considered. It is concluded that there has been a significant increase in mail traffic in recent years and a change in its structure. As a hypothesis, an assumption is made about the "seasonality"(repetition of rise and fall time periods) of incoming e-mails. This hypothesis has been partially confirmed. The R/S analysis and the Hurst method are used to confirm the hypothesis. The analysis shows the presence of stable trends of legitimate mail traffic and wandering series tendency for unwanted e-mail traffic. In conclusion, there is a discussion of practical problems for which the obtained results can be applied.
DOI 10.14258/izvasu(2017)4-28
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