INVESTIGATION OF NEURAL NETWORK ALGORITHM FOR DETECTION OF NETWORK HOST ANOMALIES IN THE AUTOMATED SEARCH FOR XSS VULNERABILITIES AND SQL INJECTIONS

INVESTIGATION OF NEURAL NETWORK ALGORITHM FOR DETECTION OF NETWORK HOST ANOMALIES IN THE AUTOMATED SEARCH FOR XSS VULNERABILITIES AND SQL INJECTIONS

A problem of aberrant 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 req...

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Bibliographic Details
Main Authors: Y. D. Shabalin, V. L. Eliseev
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2016-03-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
anomalies detection
intrusion detection
neural network
one-class neural network classifier
security
network
Cross-Site Scripting
XSS attack
SQL injection
network attack
Online Access:http://ntv.ifmo.ru/file/article/15192.pdf

Internet

http://ntv.ifmo.ru/file/article/15192.pdf

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