3D graph visualisation of web normal and malicious traffic

dc.contributor.author	Ξύδας, Ιωάννης	el
dc.contributor.author	Μιαούλης, Γεώργιος	el
dc.contributor.author	Bonnefoi, Pierre-François	fr
dc.contributor.author	Πλεμμένος, Δημήτρης	el
dc.contributor.author	Ghazanfarpour, Djamchid	en
dc.date.accessioned	2015-05-07T17:13:28Z
dc.date.issued	2015-05-07
dc.identifier.uri	http://hdl.handle.net/11400/9856
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://ieeexplore.ieee.org/xpl/conferences.jsp	en
dc.subject	Web visualisation
dc.subject	Anomaly detection (Computer security)
dc.subject	Detection
dc.subject	Expert systems (Computer science)
dc.subject	Intrusion
dc.subject	Network security
dc.subject	Neural networks
dc.subject	Surveillance aid
dc.subject	web attacks
dc.subject	Web security
dc.subject	Οπτικοποίηση δεδομένων διαδικτύου
dc.subject	Εντοπισμός ανωμαλιών
dc.subject	Εντοπισμός
dc.subject	Έμπειρα συστήματα
dc.subject	Εισβολή
dc.subject	Ασφάλεια δικτύου
dc.subject	Νευρωνικά δίκτυα
dc.subject	Ενίσχυση επιτήρησης
dc.subject	Διαδικτυακές επιθέσεις
dc.subject	Ασφάλεια δικτύου
dc.title	3D graph visualisation of web normal and malicious traffic	en
heal.type	conferenceItem
heal.classification	Technology
heal.classification	Computer science
heal.classification	Τεχνολογία
heal.classification	Πληροφορική
heal.classificationURI	http://zbw.eu/stw/descriptor/10470-6
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Πληροφορική
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2005007675
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85046450
heal.keywordURI	http://zbw.eu/stw/descriptor/19808-6
heal.identifier.secondary	DOI: 10.1109/IV.2006.2
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.recordProvider	Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Πληροφορικής Τ.Ε.	el
heal.publicationDate	2006-07
heal.bibliographicCitation	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.	en
heal.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	en
heal.publisher	IEEE Xplore	en
heal.fullTextAvailability	false
heal.conferenceName	Tenth International Conference on Information Visualization	en
heal.conferenceItemType	full paper