An information sharing and analysis method for detection of abnormal behavior in computational grids

Computational grids, which make large-scale simulation possible, are valuable infrastructure for users such as research scientists, and many users benefit from the computational capabilities of high-performance resources. However, concerns exist about improper use by malicious users because of the processing ability of computational grids. Currently, both normal users and administrators demand safety and reliability for large distributed computing. This paper proposes an approach based on the concept of ISAC for administrators to support incident response and forensic analysis, using gathered resource information and user activities in a computational grid environment.