Publications

@inproceedings{nadig_sciencesds:_2017,

title = {ScienceSDS: A Novel Software Defined Security Framework for Large-scale Data-intensive Science},

author = {Deepak Nadig and Byrav Ramamurthy},

url = {http://doi.acm.org/10.1145/3040992.3040999},

doi = {10.1145/3040992.3040999},

isbn = {978-1-4503-4908-6},

year  = {2017},

date = {2017-01-01},

urldate = {2019-02-07},

booktitle = {Proceedings of the ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization},

pages = {13--18},

publisher = {ACM},

address = {New York, NY, USA},

series = {SDN-NFVSec '17},

abstract = {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. firewalls). We propose ScienceSDS, a novel software defined security framework for securely monitoring large-scale science datasets over a software defined networking and network functions virtualization (SDN/NFV) infrastructure.},

note = {event-place: Scottsdale, Arizona, USA},

keywords = {data-intensive science, service function chaining, software defined security},

pubstate = {published},

tppubtype = {inproceedings}

}