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Title

Learning-based System for Detecting Abnormal Traffic and Host Control

Author

Changwoo Nam, Chanyeol Park, Huhnkuk Lim, Seongjin Ahn, Jinwook Chung

Citation

Vol. 6  No. 7  pp. 196-201

Abstract

Worm viruses nowadays tend not only to simply attack a host and destroy it but generate high volumes of traffic and cause network failure. This paper proposes a learning-based system for detecting abnormal traffic with a control function for individual hosts included in it for efficient protection against worm viruses and network security on a network level. The system searches, detects and learns abnormal traffic on a network level to prevent factors causing network bottleneck from affecting in advance. This paper also presents a network security management system using the ARP Spoofing attack method to efficiently control the hosts within the network.

Keywords

Network Management, Network Security, ARP spoofing, Abnormal Traffic, Worm Virus, Worm Detection

URL

http://paper.ijcsns.org/07_book/200607/200607C11.pdf