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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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Full metadata record
| DC Field | Value | Language |
|---|
| contributor.author | Kar, Sumit | - |
| contributor.author | Sahoo, Bibhudatta | - |
| date.accessioned | 2009-04-24T07:59:26Z | - |
| date.available | 2009-04-24T07:59:26Z | - |
| date.issued | 2009 | - |
| identifier.citation | International Journal of Computer Applications in Engineering Technology and Sciences, Vol 1, Iss 2, P 553 | en |
| identifier.uri | http://hdl.handle.net/2080/814 | - |
| description | Copyright for the paper belongs to Publishers | en |
| description.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. | en |
| format.extent | 166956 bytes | - |
| format.mimetype | application/pdf | - |
| language.iso | en | - |
| subject | Grid Computing | en |
| subject | Anamaly detection | en |
| subject | Entrophy | en |
| title | An Anamaly Detection System for DDOS attack in Grid Computing | en |
| type | Article | en |
| Appears in Collections: | Journal Articles
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Files in This Item:
| File |
Description |
Size | Format |
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| sumitkar.pdf | | 163Kb | Adobe PDF | View/Open |
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