SKRM: Where security techniques talk to each other

Xiaoyan Sun, Jun Dai, Peng Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Achieving complete and accurate cyber situation awareness (SA) is crucial for security analysts to make right decisions. To facilitate cyber SA, existing security tools, algorithms, and techniques like attack graph, should be integrated together to extract the most critical information and synthesize knowledge from different areas. Based on existing theories of situation awareness, a cyber SA model and an SKRM (Situation Knowledge Reference Model) model are constructed to enhance the coupling of current techniques to situation awareness to enable security analysts' effective analysis of complex cyber-security problems.

Original languageEnglish (US)
Title of host publication2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2013
Pages163-166
Number of pages4
DOIs
StatePublished - Jul 10 2013
Event3rd IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2013 - San Diego, CA, United States
Duration: Feb 25 2013Feb 28 2013

Publication series

Name2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2013

Other

Other3rd IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2013
CountryUnited States
CitySan Diego, CA
Period2/25/132/28/13

All Science Journal Classification (ASJC) codes

  • Information Systems and Management

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    Sun, X., Dai, J., & Liu, P. (2013). SKRM: Where security techniques talk to each other. In 2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2013 (pp. 163-166). [6523841] (2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2013). https://doi.org/10.1109/CogSIMA.2013.6523841