Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKar, Sumit-
dc.contributor.authorSahoo, Bibhudatta-
dc.identifier.citationInternational Journal of Computer Applications in Engineering Technology and Sciences, Vol 1, Iss 2, P 553en
dc.descriptionCopyright for the paper belongs to Publishersen
dc.description.abstractGrid 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
dc.format.extent166956 bytes-
dc.subjectGrid Computingen
dc.subjectAnamaly detectionen
dc.titleAn Anamaly Detection System for DDOS attack in Grid Computingen
Appears in Collections:Journal Articles

Files in This Item:
File Description SizeFormat 
sumitkar.pdf163.04 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.