DocumentCode :
593253
Title :
Cluster and super cluster based intrusion detection and prevention techniques for JellyFish Reorder Attack
Author :
Wazid, M. ; Katal, Avita ; Goudar, R.H.
fYear :
2012
fDate :
6-8 Dec. 2012
Firstpage :
435
Lastpage :
440
Abstract :
Denial of service (DoS) is malignant attack in MANET which is difficult to detect and defend. Jellyfish is a new DoS attack which is categorized as JF Reorder Attack, JF Periodic Dropping Attack, JF Delay Variance Attack. Out of these three, JF Reorder is the most effective one. It disrupts the whole functionality of TCP and further produces zero goodput. So its detection and prevention becomes very crucial. In this paper we have proposed two novel JF Reorder attack detection techniques i.e. Cluster Based Intrusion Detection and Prevention Technique (CBIDPT) and Super Cluster Based Intrusion Detection and Prevention Technique (SCBIDPT) and also calculated the improvement done by these techniques on the performance of the network. These techniques improve the goodput of the network while introducing some delay.
Keywords :
computer network security; mobile ad hoc networks; mobile computing; pattern clustering; transport protocols; DoS attack; JF delay variance attack; JF periodic dropping attack; JF reorder attack detection techniques; MANET; SCBIDPT; TCP; denial of service; jellyfish reorder attack; super cluster based intrusion detection and prevention technique; Mobile ad hoc networks; Mobile computing; Routing; CBIDPT; JF Reorder Attack; SCBIDPT;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Distributed and Grid Computing (PDGC), 2012 2nd IEEE International Conference on
Conference_Location :
Solan
Print_ISBN :
978-1-4673-2922-4
Type :
conf
DOI :
10.1109/PDGC.2012.6449860
Filename :
6449860
Link To Document :
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