Secure Online Scientific Visualization of Atmospheric Nucleation Processes

With the fast increases in the size of the scientific data, the visualization technique has been widely adopted to transform the information into an easy-to-understand representation. Since the security clearance and access rights of the end users may vary greatly in a scientic visualization system, the security mechanisms must be properly designed and deployed. In this paper, we present a key management and update approach for online visualization of atmospheric nucleation. The users are divided into multiple groups and the personal secrets are determined by combining the user identities and polynomials. The personal secrets support both user authentication and visualization result encryption. We also describe the stateless key update mechanism. The proposed approach has been integrated with our visualization system and tested with real scientific data.