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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/814
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| Title: | An Anamaly Detection System for DDOS attack in Grid Computing |
| Authors: | Kar, Sumit
Sahoo, Bibhudatta |
| Keywords: | Grid Computing
Anamaly detection
Entrophy |
| Issue Date: | 2009 |
| Citation: | International Journal of Computer Applications in Engineering Technology and Sciences, Vol 1, Iss 2, P 553 |
| Abstract: | Grid computing is rapidly emerging as a dominant field of wide area distributed computing. Grid computing is a
collection of heterogeneous computers and resources across multiple organizations and delivers computing and
resources as services to its users. The heterogeneity and scalability characteristics of Grid introduce potential
security challenges. Distributed Denial of Service attack (DDoS) is one of the major threats to grid computing
services. The perfect secure system for DDoS attack is based on the 3 steps: (i) Attack prevention, (ii) attack
detection and recovery, and (iii) attack identification. This paper presents vulnerability of Grid computing in
presence of DDoS attack. Our proposed method is based upon attack detection and recovery, and uses an
Entropy based anomaly detection system to detect DDoS attack. A grid topology model is used to describe how
to implement the entropy based anomaly detection system in grid environment. |
| Description: | Copyright for the paper belongs to Publishers |
| URI: | http://hdl.handle.net/2080/814 |
| Appears in Collections: | Journal Articles
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| sumitkar.pdf | | 163Kb | Adobe PDF | View/Open |
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