DETECTING NETWORK ATTACKS IN COMPUTER NETWORKS BY USING DATA MINING METHODS
Rubrics: ARTICLES
Authors:
1.
professor of the Department „Information security of computer systems“
Peter the Great St. Petersburg Polytechnic University
2.
assistant of the Department „Information security of computer systems“
Peter the Great St.Petersburg Polytechnic University
Type:
Article
Pages:
from 16
to 21
Status:
Published
Received:
11.01.2025
Accepted:
11.01.2025
Published:
11.01.2025
Subject area:
UDK УДК
Language:
Russian
Keywords:
computer network, intrusion detection system, data mining methods, support vector machine, principal component analysis
Abstract (English):
The article describes an approach to the development of an intrusion detection system for computer networks. It is shown that the usage of several data mining methods and tools can improve the effi ciency of protection computer networks against network attacks due to the combination of the benefi ts of signature detection and anomalies detection and the opportunity of adaptation the system for hardware and software structure of the computer network.
The article describes an approach to the development of an intrusion detection system for computer networks. It is shown that the usage of several data mining methods and tools can improve the effi ciency of protection computer networks against network attacks due to the combination of the benefi ts of signature detection and anomalies detection and the opportunity of adaptation the system for hardware and software structure of the computer network.
Keywords:
computer network, intrusion detection system, data mining methods, support vector machine, principal component analysis
computer network, intrusion detection system, data mining methods, support vector machine, principal component analysis
1.
