2013 Symposium Posters

Project Members
Peter Baker, Jia Xu, Elisa Bertino

Web based scientific application have provided a means to share scientific data across diverse groups and disciplines for integrated research extending beyond the local computing environment. But the organization and sharing of large and heterogeneous data pose challenges due to their sensitive nature. The main challenge is providing a robust authorization mechanism that prevents unauthorized access of data in scientific applications. In this paper we analyze the security requirements of scientific applications and present an authorization model that facilitates the organization and sharing of data without compromising the security of data. We also discuss the key components and implementation of Computational Research Infrastructure for Science (CRIS), a web-based scientific application that currently deploys a partial set of the security requirements for scientific applications.