Title :
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
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;
Conference_Titel :
Computers and Information Technology, 2009. ICCIT '09. 12th International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4244-6281-0
DOI :
10.1109/ICCIT.2009.5407308