2021

Постійне посилання на фонд

https://ela.kpi.ua/handle/123456789/55574

Переглянути

Перегляд 2021 за Автор "Stopochkina, Iryna"

Зараз показуємо 1 - 2 з 2
  • Ескіз
    ДокументВідкритий доступ
    Methods of counteraction of bypassing two-factor authentication using reverse proxy
    (Igor Sikorsky Kyiv Polytechnic Institute, 2021) Vlasenko, Andrii; Stopochkina, Iryna; Ilin, Mykola
    The existing solutions for counteracting and preventing the interception of data and tokens of two-factor authentication are considered. Features that may indicate the presence of a silent reverse proxy server are chosen. It is proposed to analyze the information about additional time anomalies, which are usually created by the proxy server. The advantage of this approach is that the time characteristics information is generated on the client-side, and the malicious proxy server cannot modify it. Machine learning methods were used to detect implicit signs of the presence of a proxy server. A new method of detecting a silent reverse proxy server that satisfies the following conditions is proposed: 1) the human factor is minimized, 2) use by an individual user is possible, 3) the method has an acceptable impact on performance and can be used in real-time.
  • Ескіз
    ДокументВідкритий доступ
    Reference functions of cyber incidents displaying in the media space
    (Igor Sikorsky Kyiv Polytechnic Institute, 2021) Lande, Dmytro; Novikov, Oleksii; Stopochkina, Iryna
    The principles of cyber attacks detection that based on media content are described. Proposed methods are suitable for description of the general trends in the dynamics of information flows concerning cyber incidents. A generalized diagram of cyber attacks stages displaying in the media space is proposed. On the basis of the diagram the basic wavelet functions are selected, which can be considered as a reference for detecting cyber incidents. The proposed wavelets are low-order derivatives of Gaussian function (Wave, «Mexican Hat» and Morlaix wavelets). Retrospective analysis of already implemented information operations is a reliable way to verify them. The problem of forecasting is partly solved by probabilistic estimates in accordance with the type of reference functions.