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Visualizing Web Attack Scenarios in Space and Time Coordinate Systems

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XVI

Part of the book series: Lecture Notes in Computer Science ((TLDKS,volume 8960))

Abstract

Intrusion Detection Systems can detect attacks and notify responsible people of these events automatically. However, seeing individual attacks, although useful, is often not enough to understand about the whole attacking process as well as the skills and motivations of the attackers. Attacking step is usually just a phase in the whole intrusion process, in which attackers gather information and prepare required conditions before executing it, and clear log records to hide their traces after executing it. Current approaches to constructing attack scenarios require pre-defining of cause and effect relationships between events, which is a difficult and time-consuming task. In this work, we exploit the linking nature between pages in web applications to propose an attack scenario construction technique without the need of cause and effect relationships pre-definition. Built scenarios are then visualized in space and time coordinate systems to support viewing and analysis. We also develop a prototype implementation based on the proposal and use it to experiment with different simulated attack scenarios.

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References

  1. Roesch, M.: Snort-Lightweight Intrusion Detection For Networks. In: 13th USENIX Conference on System Administration, pp. 229–238. USENIX Association (1999)

    Google Scholar 

  2. Paxson, V.: Bro: a System for Detecting Network Intruders in Real-time. Computer Networks 31, 2435–2463 (1999)

    Article  Google Scholar 

  3. Erbacher, R.F., Walker, K.L., Frincke, D.A.: Intrusion and Misuse Detection in Large-Scale Systems. IEEE Computer Graphics and Applications 22(1), 38–47 (2002)

    Article  Google Scholar 

  4. Livnat, Y., Agutter, J., Moon, S., Erbacher, R.F., Foresti, S.: A Visualization Paradigm for Network Intrusion Detection. In: 6th Annual IEEE SMC Information Assurance Workshop, pp. 92–99. IEEE, West Point (2005)

    Google Scholar 

  5. Dang, T.T., Dang, T.K.: Visualization of Web Form Submissions for Security Analysis. International Journal of Web Information Systems Information 9(2), 165–180 (2013)

    Article  Google Scholar 

  6. Dang, T.T., Dang, T.K.: A Visual Model for Web Applications Security Monitoring. In: 2011 IEEE International Conference on Information Security and Intelligence Control, pp. 158–162. IEEE (2011)

    Google Scholar 

  7. Debar, H., Wespi, A.: Aggregation and Correlation of Intrusion-Detection Alerts. In: Lee, W., Mé, L., Wespi, A. (eds.) RAID 2001. LNCS, vol. 2212, pp. 85–103. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  8. Ning, P., Cui, Y., Reeves, D.S.: Constructing Attack Scenarios Through Correlation of Intrusion Alerts. In: 9th ACM Conference on Computer and Communications Security, pp. 245–254. ACM, New York (2002)

    Google Scholar 

  9. Lee, J., Podlaseck, M., Schonberg, E., Hoch, R.: Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising. Data Mining and Knowledge Discovery 5, 59–84 (2001)

    Article  Google Scholar 

  10. Kawamoto, M., Itoh, T.: A Visualization Technique for Access Patterns and Link Structures of Web Sites. In: 14th International Conference Information Visualization, pp. 11–16. IEEE Computer Society, Washington (2010)

    Google Scholar 

  11. Google Analytics. http://www.google.com/analytics/

  12. Webtrends. http://webtrends.com/

  13. Spiliopoulou, M., Mobasher, B., Berendt, B., Nakagawa, M.: A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis. INFORMS Journal on Computing 15, 171–190 (2003)

    Article  MATH  Google Scholar 

  14. Srivastava, J., Cooley, R., Deshpande, M., Tan, P.N.: Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data. SIGKDD Explorations Newsletter 1, 12–23 (2000)

    Article  Google Scholar 

  15. Johnson, B., Shneiderman, B.: Tree-Maps: a Space-Filling Approach to the Visualization of Hierarchical Information Structures. In: 2nd Conference on Visualization, pp. 284–291. IEEE Computer Society Press, Los Alamitos (1991)

    Google Scholar 

  16. Apache HTTP Server. http://httpd.apache.org/

  17. Java DB. http://www.oracle.com/technetwork/java/javadb/index.html

  18. PHPIDS. http://www.phpids.org/

  19. MySQL. http://www.mysql.com/

  20. Subgraph Vega. http://subgraph.com/products.html

  21. OWASP Zed Attack Proxy Project. https://www.owasp.org/index.php/OWASP_Zed_Attack_Proxy_Project

  22. Acunetix Web Vulnerability Scanner. http://www.acunetix.com/

  23. Plaisant, C.: The Challenge of Information Visualization Evaluation. In: International Working Conference on Advanced Visual Interfaces, pp. 109–116. ACM, New York (2004)

    Google Scholar 

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Correspondence to Tran Tri Dang .

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Dang, T.T., Dang, T.K. (2014). Visualizing Web Attack Scenarios in Space and Time Coordinate Systems. In: Hameurlain, A., Küng, J., Wagner, R., Dang, T., Thoai, N. (eds) Transactions on Large-Scale Data- and Knowledge-Centered Systems XVI. Lecture Notes in Computer Science(), vol 8960. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45947-8_1

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  • DOI: https://doi.org/10.1007/978-3-662-45947-8_1

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