Computer Science and Engineering, Department of
ScienceSDS: A Novel Software Defined Security Framework for Large-scale Data-intensive Science
Date of this Version
SDN-NFV Pages 13-18
Experimental science workflows from projects such as Compact Muon Solenoid (CMS)  and Laser Interferometer Gravitational Wave Observatory (LIGO)  are characterized by data-intensive computational tasks over large datasets transferred over encrypted channels. The Science DMZ  approach to network design favors lossless packet forwarding through a separate isolated network over secure lossy forwarding through stateful packet processors (e.g. fire-walls). We propose ScienceSDS, a novel software denied security framework for securely monitoring large-scale science datasets over a software defined networking and network functions virtualization (SDN/NFV) infrastructure.
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