Open AccessOn stability of distributions of WhatsApp traffic characteristics
Author(s) -
D. Shingissov,
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V. Goikhman,
A. Lavrova,
Shakhmaran Seilov,
Ye. Zhursinbek,
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Publication year - 2021
Publication title -
vestnik nacionalʹnoj inženernoj akademii respubliki kazahstan
Language(s) - English
Resource type - Journals
eISSN - 2709-4707
pISSN - 2709-4693
DOI - 10.47533/2020.1606-146x.121
Subject(s) - stability (learning theory) , set (abstract data type) , computer science , test (biology) , distribution (mathematics) , data mining , mathematics , machine learning , paleontology , mathematical analysis , biology , programming language
This paper deals with the main methods of traffic classification and describes the functional scheme of a test bench and the test procedure. It provides the results of verifying the hypothesis about the stability of distributions of WhatsApp traffic characteristics. The delivered test results in this paper emphasize the influence of certain traffic characteristics on the final traffic distribution form. In addition, the comparison of the results obtained for the entire set of tests and the results received for individual test sets reveals the absence of other critical traffic characteristics significantly influencing the distribution form concluding in the need for further research. The paper concludes that the stability pattern of distributions of WhatsApp traffic characteristics can be obtained and visualized after more critical traffic characteristics are revealed and processed in similar tests. This paper stands as a pioneer research in assessing the traffic analysis and implementing the results in applied science.