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Title
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Learning-based System for Detecting Abnormal Traffic and Host Control
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Author
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Changwoo Nam, Chanyeol Park, Huhnkuk Lim, Seongjin Ahn, Jinwook Chung
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Citation |
Vol. 6 No. 7 pp. 196-201
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Abstract
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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.
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Keywords
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Network Management, Network Security, ARP spoofing, Abnormal Traffic, Worm Virus, Worm Detection
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URL
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http://paper.ijcsns.org/07_book/200607/200607C11.pdf
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