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32.973
B16

Baisholan, N.
    Software and mathematical support for attack prediction in information security events. [Текст] / N. Baisholan, M. Turdalyuly, K. S. Baisholanova, K. E. Kubayev, M. T. Tungyshbayev // News of national academy of sciences of the republic of Kazakhstan. . - 2021. - №6. - P. 42-47
ББК 32.973

Рубрики: information Technology

Кл.слова (ненормированные):
network anomaly -- networkinciden -- network attack -- SIEM system -- DLP system -- Irwin model -- prediction models
Аннотация: This article discusses the need to detect attacks in real-time management of information security events and identify anomalies to prevent any attacks. Authors pay attention to the predictive process as one of the management functions. Information security management also considers incidents as unexpected events that can compromise information security.
Держатели документа:
WKU
Доп.точки доступа:
Turdalyuly, M.
Baisholanova, K.S.
Kubayev, K.E.
Tungyshbayev, M.T.

Baisholan, N. Software and mathematical support for attack prediction in information security events. [Текст] / N. Baisholan, M. Turdalyuly, K. S. Baisholanova, K. E. Kubayev, M. T. Tungyshbayev // News of national academy of sciences of the republic of Kazakhstan. . - 2021. - №6.- P.42-47

1.

Baisholan, N. Software and mathematical support for attack prediction in information security events. [Текст] / N. Baisholan, M. Turdalyuly, K. S. Baisholanova, K. E. Kubayev, M. T. Tungyshbayev // News of national academy of sciences of the republic of Kazakhstan. . - 2021. - №6.- P.42-47


32.973
B16

Baisholan, N.
    Software and mathematical support for attack prediction in information security events. [Текст] / N. Baisholan, M. Turdalyuly, K. S. Baisholanova, K. E. Kubayev, M. T. Tungyshbayev // News of national academy of sciences of the republic of Kazakhstan. . - 2021. - №6. - P. 42-47
ББК 32.973

Рубрики: information Technology

Кл.слова (ненормированные):
network anomaly -- networkinciden -- network attack -- SIEM system -- DLP system -- Irwin model -- prediction models
Аннотация: This article discusses the need to detect attacks in real-time management of information security events and identify anomalies to prevent any attacks. Authors pay attention to the predictive process as one of the management functions. Information security management also considers incidents as unexpected events that can compromise information security.
Держатели документа:
WKU
Доп.точки доступа:
Turdalyuly, M.
Baisholanova, K.S.
Kubayev, K.E.
Tungyshbayev, M.T.

Страница 1, Результатов: 1

 

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