Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/9856
Title: 3D graph visualisation of web normal and malicious traffic
Authors: Ξύδας, Ιωάννης
Μιαούλης, Γεώργιος
Πλεμμένος, Δημήτρης
Ghazanfarpour, Djamchid
Bonnefoi, Pierre-François
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Web visualisation;Anomaly detection (Computer security);Detection;Expert systems (Computer science);Intrusion;Network security;Neural networks;Surveillance aid;web attacks;Web security;Οπτικοποίηση δεδομένων διαδικτύου;Εντοπισμός ανωμαλιών;Εντοπισμός;Έμπειρα συστήματα;Εισβολή;Ασφάλεια δικτύου;Νευρωνικά δίκτυα;Ενίσχυση επιτήρησης;Διαδικτυακές επιθέσεις;Ασφάλεια δικτύου
Subjects: Technology
Computer science
Τεχνολογία
Πληροφορική
Issue Date: 7-May-2015
Jul-2006
Publisher: IEEE Xplore
Abstract: 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
Language: English
Citation: Xydas, I., Miaoulis, G., Bonnefoi, P.-F., Plemenos, D. and Ghazanfarpour, D. (2006) 3D graph visualisation of web normal and malicious traffic. In "Tenth International Conference on Information Visualization". London: IEEE Xplore.
Conference: Tenth International Conference on Information Visualization
Access scheme: Embargo
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/9856
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