• 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