DocumentCode
2421517
Title
Steps Toward Improved Analysis for Network Mission Assurance
Author
Burris, Craig M. ; McEver, Jimmie G. ; Schoenborn, Heather W. ; Signori, David T.
Author_Institution
Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA
fYear
2010
fDate
20-22 Aug. 2010
Firstpage
1177
Lastpage
1182
Abstract
The DoD focus on Joint network-enabled operations promises benefits in terms of improved force agility and effectiveness; however, the greater dependence on network capability makes it imperative that DoD decision makers understand the impact of such capabilities on mission success. This paper proposes a new analytic approach aimed initially at achieving first-order network mission assurance assessments by modeling aggregate behavior at a low level of resolution. It is based on the premise that risk of mission failure due to degradation of C2 is driven by the degree of dependency on key underlying functions (i.e., information sharing, collaboration, and direction) enabled by the common networks and the ability of these network to support such functions in realistic threat environments. It employs risk functions of different shapes and scales that relate the capability of links among groups of users to risk of failure of mission tasks. This paper describes the applicable problem space, the methodology, and outstanding research challenges.
Keywords
command and control systems; risk management; security of data; C2 degradation; DoD; first-order network mission assurance assessment analysis; joint network-enabled operations; mission failure risk; Aggregates; Collaboration; Degradation; Information systems; Joints; Measurement; US Department of Defense; cyber measurement; mission assurance; net enabled C2; network analysis; network performance;
fLanguage
English
Publisher
ieee
Conference_Titel
Social Computing (SocialCom), 2010 IEEE Second International Conference on
Conference_Location
Minneapolis, MN
Print_ISBN
978-1-4244-8439-3
Electronic_ISBN
978-0-7695-4211-9
Type
conf
DOI
10.1109/SocialCom.2010.175
Filename
5591922
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