Towards Security Hardening of Scientific Demand-Driven and Pipelined Distributed Computing Systems

This work highlights and takes aim at the most critical security aspects required for two different types of distributed systems for scientific computation. It covers two open-source systems written in Java: a demand-driven system - general intensional programming system (GIPSY) and a pipelined system - distributed modular audio recognition framework (DMARF), which are the distributed scientific computational engines used as case studies with respect to the security aspects. More specific goals include data/demand integrity, data/demand origin authentication, confidentiality, high availability, and malicious code detection. We address some of the goals to a degree, some with the Java data security framework (JDSF) as a work-in- progress.