Scientific Journal of KubSAU

The work is devoted to searching efficient detection methods of anomalous state in data networks. There is a structure of modern informational attacks detecting system. There are short review and analysis of information system network security facilities. Two main technologies of attack detection are described: anomaly detection and misuse detection. It is shown that every detection of anomalies is based on assumption that anomalous behavior is deflection from normal profile of behavior. It is hard to implement this technology, although there is some progress when expert system, fuzzy logic and so on are used for this purpose. Action patterns or symbols assets which describe anomaly activity are used as attack signature in misuse detection method. Author offers to use benefits of both methods for solving the problem