An Anamaly Detection System for DDOS attack in Grid Computing

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.