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THE STATISTICAL ANALYSIS OF A NETWORK TRAFFIC FOR THE INTRUSION DETECTION AND PREVENTION SYSTEMS

Articolo
Data di Pubblicazione:
2015
Abstract:
The systems of intrusion detection and prevention are considered, the operation of which is based on the study of network traffic anomalies (Anomaly-Based Intrusion Detection and Prevention Systems). Statistical analysis of time series describing the network traffic of various services and information services of modern telecommunication systems and networks is carried out. The homogeneity of network traffic according to various criteria is investigated, it is shown that the use of statistical analysis makes it possible to monitor the network activity successfully for intrusion detection and prevention of their impact on the protected information resources.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Sampled data; Service; Statistics; Traffic; Utility
Elenco autori:
Kuznetsov, Oleksandr; Smirnov, A. A.; Danilenko, D. A.; Berezovsky, A.
Autori di Ateneo:
KUZNETSOV OLEKSANDR
Link alla scheda completa:
https://iris.uniecampus.it/handle/11389/68180
Pubblicato in:
TELECOMMUNICATIONS AND RADIO ENGINEERING
Journal
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