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Attack Pattern Recognition Through Correlating Cyber Situational Awareness in Computer Networks

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Cyberpatterns

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Abstract

There is no denying that communication networks, in particular the Internet, have changed our lives in many ways. Many organizations and businesses in general benefit, but at the same time their communication networks face many challenges such as cyber-attacks, which can result in disruptions of services and huge financial losses. Therefore, resilience of these networks against cyber-attacks is a growing interest in the cyber security community. In this paper, we propose a framework for attack pattern recognition by collecting and correlating cyber situational information vertically across protocol-levels, and horizontally along the end-to-end network path. This will help to analyze cyber challenges from different viewpoints and to develop effective countermeasures.

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Notes

  1. 1.

    Information Warfare Monitor, Tracking GhostNet: Investigation Cyber Espionage Network. March 29, 2009. http://www.infowar-monitor.net/2009/09/tracking-ghostnet-investigating-a-cyber-espionage-network/

  2. 2.

    MITRE manages federally funded research and development centers (FFRDCs), partnering with government sponsors to support their crucial operational mission. CAPEC- CybOX is managed by MITRE http://www.mitre.org/

  3. 3.

    ResumeNet: http://comp.lancs.ac.uk/resilience/

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Acknowledgments

This research is partially supported by the EPSRC funded India-UK Advanced Technology Centre in Next Generation Networking.

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Authors and Affiliations

  1. School of Computing and Communications, Lancaster University, Lancaster LA1 4WA, United Kingdom

    Noor-ul-hassan Shirazi & David Hutchison

  2. Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil

    Alberto Schaeffer-Filho

Authors
  1. Noor-ul-hassan Shirazi
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  2. Alberto Schaeffer-Filho
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  3. David Hutchison
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Correspondence to Noor-ul-hassan Shirazi .

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Editors and Affiliations

  1. Department of Computing and Communication Technologies, Oxford Brookes University, Oxford, Oxfordshire, United Kingdom

    Clive Blackwell

  2. Department of Computing and Communication Technologies, Oxford Brookes University, Oxford, Oxfordshire, United Kingdom

    Hong Zhu

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Shirazi, Nuh., Schaeffer-Filho, A., Hutchison, D. (2014). Attack Pattern Recognition Through Correlating Cyber Situational Awareness in Computer Networks. In: Blackwell, C., Zhu, H. (eds) Cyberpatterns. Springer, Cham. https://doi.org/10.1007/978-3-319-04447-7_10

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  • DOI: https://doi.org/10.1007/978-3-319-04447-7_10

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