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VisRAID: Visualizing Remote Access for Intrusion Detection

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Information Security and Privacy (ACISP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 9144))

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Abstract

Detecting malicious attempts to access computers is difficult with current security applications. Many current applications do not give the user the right information to find and analyze possible attempts. We present VisRAID – a novel visual analytics web application for detecting intrusions via remote access attempts, and a user study to evaluate the effectiveness and usability of the application with security professionals. The implications of the study will help inform the design of future security visualization applications.

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References

  1. Bertini, E., Hertzog, P., Lalanne, D.: SpiralView: towards security policies assessment through visual correlation of network resources with evolution of alarms. In: Proc. of Conference on Visual Analytics Science and Technology (VAST), pp. 139–146. IEEE (2007)

    Google Scholar 

  2. Bostock, M., Ogievetsky, V., Heer, J.: D\(^3\) Data-Driven Documents. IEEE Transactions on Visualization and Computer Graphics 17(12), 2301–2309 (2011)

    Article  Google Scholar 

  3. Chin, G., Singhal, M., Nakamura, G., Gurumoorthi, V., Freeman-Cadoret, N.: Visual analysis of dynamic data streams. Information Visualization 8(3), 212–229 (2009)

    Article  Google Scholar 

  4. Data Geekery. jOOQ: Get back in control of your SQL, October 30, 2013. http://jooq.org

  5. Fan, J., Xu, J., Ammar, M., Moon, S.: Prefix-preserving ip address anonymization: Measurement-based security evaluation and a new cryptography-based scheme. Computer Networks 46(2), 253–272 (2004)

    Article  MATH  Google Scholar 

  6. Honeynet Project. Forensic Challenge 10 - Attack Visualization, June 05, 2013. http://www.honeynet.org/challenges/attack_visualization_challenge

  7. Itoh, T., Takakura, H., Sawada, A., Koyamada, K.: Hierarchical visualization of network intrusion detection data. IEEE Computer Graphics Applications 26(2), 40–47 (2006)

    Article  Google Scholar 

  8. Lewis, J.R.: IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for use. International Journal of Human-Computer Interaction 7(1), 57–78 (1995)

    Article  Google Scholar 

  9. Makanju, A., Brooks, S., Zincir-Heywood, A., Milios, E.: LogView: visualizing event log clusters. In: Proc. of Conference on Privacy, Security and Trust (PST), pp. 99–108. IEEE (2008)

    Google Scholar 

  10. Mukosaka, S., Koike, H.: Integrated visualization system for monitoring security in large-scale local area network. In: Proc. of the Asia-Pacific Symposium on Information Visualisation (APVIS), pp. 41–44. IEEE (2007)

    Google Scholar 

  11. Stanton, N.: Human factors in alarm design. CRC Press (1994)

    Google Scholar 

  12. Tricaud, S.: PicViz: finding a needle in a haystack. In: Proc. of the USENIX Conference on Analysis of System Logs. USENIX Association (2008)

    Google Scholar 

  13. Xu, W., Huang, L., Fox, A., Patterson, D., Jordan, M.I.: Detecting large-scale system problems by mining console logs. In: Proc. of the Symposium on Operating Systems Principles (SIGOPS), pp. 117–132. ACM (2009)

    Google Scholar 

  14. Zhang, Y., Xiao, Y., Chen, M., Zhang, J., Deng, H.: A survey of security visualization for computer network logs. Security and Communication Networks 5(4), 404–421 (2012)

    Article  Google Scholar 

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Correspondence to Ian Welch .

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Trethowen, L., Anslow, C., Marshall, S., Welch, I. (2015). VisRAID: Visualizing Remote Access for Intrusion Detection. In: Foo, E., Stebila, D. (eds) Information Security and Privacy. ACISP 2015. Lecture Notes in Computer Science(), vol 9144. Springer, Cham. https://doi.org/10.1007/978-3-319-19962-7_17

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  • DOI: https://doi.org/10.1007/978-3-319-19962-7_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19961-0

  • Online ISBN: 978-3-319-19962-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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