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

Authors:
Serguei A. Mokhov
Affiliations:
Concordia University, Montreal
Venue:
ISPDC '08 Proceedings of the 2008 International Symposium on Parallel and Distributed Computing
Year:
2008

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Transactions on Computational Science XV

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Abstract

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.