DocumentCode :
3575253
Title :
Literature survey - IDS for DDoS attacks
Author :
Prajapati, Naveen Mohan ; Mishra, Atish ; Bhanodia, Praveen
Author_Institution :
Dept. of CSE, Patel Colllege of Sc. & Tech., Indore, India
fYear :
2014
Firstpage :
1
Lastpage :
3
Abstract :
In this paper, we present an overview of existing intrusion detection techniques for DDoS attacks. All these algorithms are described more or less on their own. Intrusion detection system is a very popular and computationally expensive task. We also explain the fundamentals of intrusion detection system. We describe today´s approaches for intrusion detection system. From the broad variety of efficient techniques that have been developed we will compare the most important ones. We will systematize the techniques and analyze their performance based on both their run time performance and theoretical considerations. Their strengths and weaknesses are also investigated. It turns out that the behavior of the algorithms is much more similar as to be expected.
Keywords :
computer network security; DDoS attacks; IDS; intrusion detection techniques; Algorithm design and analysis; Artificial neural networks; Chaotic communication; Reliability; Security; Support vector machines; Vectors; DDOS; ID3; IDS; KDD CUP 99; Literature survey;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IT in Business, Industry and Government (CSIBIG), 2014 Conference on
Print_ISBN :
978-1-4799-3063-0
Type :
conf
DOI :
10.1109/CSIBIG.2014.7056943
Filename :
7056943
Link To Document :
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