BulDML at Institute of Mathematics and Informatics >
International Journal ITA >
2003 >
Volume 10 Number 2 >

Please use this identifier to cite or link to this item:

Title: Multi-Agent Security System based on Neural Network Model of User's Behavior
Authors: Kussul, Natalia
Shelestov, Andrey
Sidorenko, Anton
Pasechnik, Vladimir
Skakun, Sergey
Veremeyenko, Natalia
Levchenko, Yuri
Keywords: Neural Network
Multi-Agent System
Network Security System
User Behavior Model
Intrusion Detection System
Issue Date: 2003
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: It is proposed an agent approach for creation of intelligent intrusion detection system. The system allows detecting known type of attacks and anomalies in user activity and computer system behavior. The system includes different types of intelligent agents. The most important one is user agent based on neural network model of user behavior. Proposed approach is verified by experiments in real Intranet of Institute of Physics and Technologies of National Technical University of Ukraine "Kiev Polytechnic Institute”.
ISSN: 1313-0463
Appears in Collections:Volume 10 Number 2

Files in This Item:

File Description SizeFormat
ijita10-2-p11.pdf107.77 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0!   Creative Commons License