Abstract
The article discusses the issues of deanonymization of network users who hide their data in order to evade responsibility when committing malicious acts. Within the framework of this work, a user deanonymization algorithm has been developed based on traffic correlation analysis. The algorithm is based on comparing the statistical characteristics of traffic generated by an unknown user with the characteristics of traffic corresponding to known users. An illustrative example of the implementation of the algorithm, which confirms its effectiveness, is given.
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