Dynamic response recognition by neural network to detect network host anomaly activity

Авторы: Eliseev Vladimir, Shabalin Yury
Сборник: The 8th International Conference on Security of Information and Networks SIN’2015
Тезисы
Год издания: 2015
Место издания: Association for Computing Machinery (ACM)
Первая страница: 246
Последняя страница: 249
DOI: 10.1145/2799979.2799991
Аннотация: A problem of anomaly behavior detection for network communicating computer is discussed. A novel approach based on dynamic response of computer is introduced. The computer is suggested as a multiple-input multiple-output (MIMO) plant. To characterize dynamic response of the computer on incoming requests a correlation between input data rate and observed output response (outgoing data rate and performance metrics) is used. To distinguish normal and anomaly behavior of the computer a one-class classifier based on feedforward neural network is constructed. In the paper a method of anomaly detection is described and results of model experiments with Web-server are provided.
Добавил в систему: Елисеев Владимир Леонидович

№	Имя	Описание	Имя файла	Размер	Добавлен
1.	Полный текст		sin2015_elsh_eng_revised4.pdf	642,8 КБ	1 марта 2020 [vlad-eliseev]
2.	sin2015_eliseev_shabalin.pdf		sin2015_eliseev_shabalin.pdf	978,2 КБ	1 марта 2020 [vlad-eliseev]

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