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Tenth International Conference on Information Visualisation (IV'06)
3D Graph Visualisation of Web Normal and Malicious Traffic
London, England
July 05-July 07
ISBN: 0-7695-2602-0
| ASCII Text | x | ||
| I. Xydas, G. Miaoulis, P.-F. Bonnefoi, D. Plemenos, D. Ghazanfarpour, "3D Graph Visualisation of Web Normal and Malicious Traffic," 2010 14th International Conference Information Visualisation, pp. 621-629, Tenth International Conference on Information Visualisation (IV'06), 2006. | |||
| BibTex | x | ||
| @article{ 10.1109/IV.2006.2, author = {I. Xydas and G. Miaoulis and P.-F. Bonnefoi and D. Plemenos and D. Ghazanfarpour}, title = {3D Graph Visualisation of Web Normal and Malicious Traffic}, journal ={2010 14th International Conference Information Visualisation}, volume = {0}, year = {2006}, issn = {1550-6037}, pages = {621-629}, doi = {http://doi.ieeecomputersociety.org/10.1109/IV.2006.2}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2010 14th International Conference Information Visualisation TI - 3D Graph Visualisation of Web Normal and Malicious Traffic SN - 1550-6037 SP621 EP629 A1 - I. Xydas, A1 - G. Miaoulis, A1 - P.-F. Bonnefoi, A1 - D. Plemenos, A1 - D. Ghazanfarpour, PY - 2006 KW - Web visualisation KW - web security KW - intrusion detection KW - web attacks KW - expert systems KW - neural networks KW - anomaly detection KW - network security KW - surveillance aid. VL - 0 JA - 2010 14th International Conference Information Visualisation ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IV.2006.2
Once a web site has been made operational by a company, organisation or individual there is a wish to know the details regarding the connections to the site. In addition, there is a great interest to monitor the activity profile of the web site in terms of how many hits are received, where they come from, the relationship between this activity and increased revenues of the business and so on. Due to the complexity and volume of data involved in these tasks the only way to manage all of the information is to present it using a visual paradigm. Furthermore, web sites are likely to be regularly scanned and attacked by both automated and manual means. Companies, organisations and individuals are making every effort to build and maintain secure web sites. In this paper we will present an ongoing surveillance prototype system which offers a visual aid to the web analyst by monitoring and exploring 3D graphs. The system offers a visual surveillance of the web traffic for both normal and malicious activity. Web requests are presented as 3D directed graphs. Colours are used on the 3D graphics to indicate malicious attempts or anomalous traffic and the analyst has the ability to perform visual data analysis by navigating online into the web request payload, of either normal or malicious traffic.
Index Terms:
Web visualisation, web security, intrusion detection, web attacks, expert systems, neural networks, anomaly detection, network security, surveillance aid.
Citation:
I. Xydas, G. Miaoulis, P.-F. Bonnefoi, D. Plemenos, D. Ghazanfarpour, "3D Graph Visualisation of Web Normal and Malicious Traffic," iv, pp.621-629, Tenth International Conference on Information Visualisation (IV'06), 2006
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