Design and implementation of artificial immune system for detecting flooding attacks

Author

Al-Dabagh, Najla Badie Ibraheem ; Ali, Ismael Ali

Author_Institution

Dept. of Comput. Sci., Univ. of Mosul, Mosul, Iraq

fYear

2011

fDate

4-8 July 2011

Firstpage

381

Lastpage

390

Abstract

The network based denial of service attacks (DoS) are still the big challenge to the researchers in the field of network security. This paper handles the popular DoS attack called TCP-SYN flood attack, and presents the design and implementation of an Artificial Immune system for Syn flood Detection, abbreviated by AISD, based on the Dendritic Cell Algorithm (DCA). The AISD system is able to detect the generated SYN flood attack and response to its generator in a real-time. Performance and accuracy of the system have been evaluated through five experiments. Results of the experiments showed the precision of intrusion detection process to the ratio of 100%, with a notable response speed, and this is shows the benefit and suitability of using artificial immune systems to the network security problems.

Keywords

artificial immune systems; computer network security; AISD system; DoS attack; Syn flood attack detection; TCP-SYN flood attack; artificial immune system; dendritic cell algorithm; flooding attack detection; intrusion detection; network based denial of service attack; network security; Computer crime; Context; Floods; Immune system; Protocols; Servers; Signal processing algorithms; artificial immune system; biocomputing; dendritic cell algorithm; fault tolerance; network security; syn flooding attack;

fLanguage

English

Publisher

ieee

Conference_Titel

High Performance Computing and Simulation (HPCS), 2011 International Conference on

Conference_Location

Istanbul

Print_ISBN

978-1-61284-380-3

Type

conf

DOI

10.1109/HPCSim.2011.5999850

Filename

5999850