Security-Enhanced Autonomous Network Management for Space Networking

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$900,000.00
Award Year:
2012
Program:
SBIR
Phase:
Phase II
Contract:
NNX12CA21C
Award Id:
n/a
Agency Tracking Number:
105916
Solicitation Year:
2010
Solicitation Topic Code:
O1.06
Solicitation Number:
n/a
Small Business Information
MD, Suite 400, Rockville, MD, 20855-2737
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
Y
Duns:
161911532
Principal Investigator:
HuiZeng
Principal Investigator
(301) 294-4258
hzeng@i-a-i.com
Business Contact:
MarkJames
Business Official
(301) 294-5221
mjames@i-a-i.com
Research Institute:
Stub




Abstract
NASA's Space Communications and Navigation (SCaN) program is integrating its three current agency networks: Space Network (SN), Deep Space Network (DSN), and Near Earth Network (NEN). This effort raises several issues for the network management in the future integrated space networks. First, an integrated network management function, which uses common standards and implementations, is needed to serve as the interface for all SCaN network customers. Second, satellite operations currently use a highly manual approach. The research and development of autonomous operations has been conducted recently but is still at early stage. Third, due to different characteristics of space networks, security management mechanisms and other network management functions that are widely adopted in the traditional networks are not fully suitable to space networks. In addition, several issues related to Bundle Protocol exist and need to be further investigated to enhance the performance of bundle delivery in delay tolerant networks. To address these issues, we propose an innovative Security-Enhanced Autonomous Network Management (SEANM) scheme for reliable communication in space networking, which allows the system to adaptively reconfigure its network elements based upon awareness of network conditions, policies, and mission requirements.

* information listed above is at the time of submission.

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