Modeling of network traffic by the Monte Carlo method
Автор: Vorobyov V.I., Evnevich E.L., Fatkieva R.R.
Журнал: Вестник Бурятского государственного университета. Философия @vestnik-bsu
Рубрика: Информационные системы и технологии
Статья в выпуске: 9, 2010 года.
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Network traffic includes chaotic structures allowing description on the basis of the theory of dynamic systems. Behavior of dynamic system of traffic modeling proved to be stochastic. Fuzzing technique is applied to research the system behavior using random input generation and output analysis. Interpretation of fuzzing results and characteristics of dynamic system, being interpreted by Monte Carlo method, allow determining parameters of the system distribution.
Fuzzing, program vulnerability, dynamic systems, information flow
Короткий адрес: https://sciup.org/148179798
IDR: 148179798
