Detection of various denial of service and Distributed Denial of Service attacks using RNN ensemble

Author

Al Islam, A.B.M.A. ; Sabrina, Tishna

Author_Institution

Dept. of Comput. Sci. & Eng., Bangladesh Univ. of Eng. & Technol., Dhaka, Bangladesh

fYear

2009

fDate

21-23 Dec. 2009

Firstpage

603

Lastpage

608

Abstract

Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) are widely known security attacks which attempt to make computer resources unavailable to its intended users. In this paper, I discuss some well known DoS and DDoS attacks. Experience shows that in the detection of these attacks human brain is more perfect than mathematical computation. Therefore, I propose a technique to incorporate the representative of human brain, Recurrent Neural Networks (RNN), to identify these attacks.

Keywords

computer network security; distributed processing; recurrent neural nets; RNN ensemble; distributed denial of service attacks; recurrent neural networks; security attacks; Artificial intelligence; Computer crashes; Computer crime; Computer security; Distributed computing; Floods; Information technology; Internet; Operating systems; Recurrent neural networks; Denial-of-Service; Distributed-Denial-of-Service; Flood attack; IP spoofing; RNN ensemble; Zombie;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers and Information Technology, 2009. ICCIT '09. 12th International Conference on

Conference_Location

Dhaka

Print_ISBN

978-1-4244-6281-0

Type

conf

DOI

10.1109/ICCIT.2009.5407308

Filename

5407308