Accelerating firewall through intelligent self-learning

Author

Moon, Jongwook ; Park, Junku ; Jung, Gihyun ; Choi, Panan ; Kang, Youngu ; Choi, Kyunghee ; Noh, Sanguk

Author_Institution

Dept. of Electron. Eng., Ajou Univ., Suwon, South Korea

Volume

4

fYear

2003

fDate

5-8 Oct. 2003

Firstpage

3524

Abstract

A new approach to increase the throughput of firewall is proposed. Packet filtering and connection management usually done in firewall are relocated to the proposed firewall accelerator engine, named FA. FA also learns the behavior of firewall in an intelligent and unique way. With the knowledge acquired by the self-learning, FA can significantly reduce the number of packets to be fed to firewall and let firewall focus on content filtering that is widely used for protecting the Internet hackings. Some empirical studies show the proposed without changing the existing (or guessing) network configuration.

Keywords

Internet; authorisation; embedded systems; unsupervised learning; Internet hackings; connection management; content filtering; embedded system; firewall accelerator engine; intelligent self-learning; network configuration; packet filtering; Acceleration; Bandwidth; Computer crime; Degradation; Filters; Hardware; Intrusion detection; Protection; Throughput; Virtual private networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2003. IEEE International Conference on

ISSN

1062-922X

Print_ISBN

0-7803-7952-7

Type

conf

DOI

10.1109/ICSMC.2003.1244435

Filename

1244435