2017
1.
Nadig, Deepak; Ramamurthy, Byrav
ScienceSDS: A Novel Software Defined Security Framework for Large-scale Data-intensive Science Proceedings Article
In: Proceedings of the ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization, pp. 13–18, ACM, New York, NY, USA, 2017, ISBN: 978-1-4503-4908-6, (event-place: Scottsdale, Arizona, USA).
Abstract | BibTeX | Tags: data-intensive science, service function chaining, software defined security | Links:
@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}
}
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.