DocumentCode
609916
Title
Gaining Big Picture Awareness through an Interconnected Cross-Layer Situation Knowledge Reference Model
Author
Jun Dai ; Xiaoyan Sun ; Peng Liu ; Giacobe, N.
Author_Institution
Coll. of Inf. Sci. & Technol., Pennsylvania State Univ., University Park, PA, USA
fYear
2012
fDate
14-16 Dec. 2012
Firstpage
83
Lastpage
92
Abstract
In both military operations and the commercial world, cyber situation awareness (SA) is a key element of mission assurance. Due to the needs for mission damage and impact assessment and asset identification (and prioritization), cyber SA is beyond intrusion detection and attack graph analysis. In this paper, we propose a cross-layer situation knowledge reference model (SKRM) to address the unique cyber SA needs of real-world missions. SKRM provides new insight on how to break the "stovepipes" created by isolated situation knowledge collectors and gain comprehensive level big picture awareness. Through a concrete case study, we show that SKRM is the key enabler for two SA capabilities beyond intrusion detection and aintrusionttack graph analysis. The potentials and the current limitations of SKRM and SKRM-enabled analysis are also discussed.
Keywords
security of data; SKRM; attack graph analysis; cross-layer situation knowledge reference model; cyber SA; cyber situation awareness; impact assessment; intrusion detection; mission assurance; mission damage; stovepipe problem; Cyber situation awareness; asset identification and prioritization; damage and impact assessment; mission-driven analytics;
fLanguage
English
Publisher
ieee
Conference_Titel
Cyber Security (CyberSecurity), 2012 International Conference on
Conference_Location
Washington, DC
Print_ISBN
978-1-4799-0219-4
Type
conf
DOI
10.1109/CyberSecurity.2012.18
Filename
6542530
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