Work

Multi-agent Security System Based on Neural Network Model of User's Behavior

Year: 2007

Type: article

Abstract: It is proposed an agent approach for creation of intelligent intrusion detection system. The system \nallows detecting known type of attacks and anomalies in user activity and computer system behavior. The \nsystem includes different types of intelligent agents. The most important one is user agent based on neural \nnetwork model of user behavior. Proposed approach is verified by experiments in real Intranet of Institute of \nPhysics and Technologies of National Technical University of Ukraine "Kiev Polytechnic Institute”.

Source: Bulgarian Digital Mathematics Library (BulDML) at IMI-BAS (Institute of Mathematics and Informatics)

Authors: Nataliia Kussul, Andrii Shelestov, A Sidorenko, V. Pasechnik, Sergii Skakun, Y. Veremeyenko, N. Levchenko

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W149073748

FWCI: 0.387

Cites: 1

Cited by: 5

Related to: 10