3D graph visualization prototype system for intrusion detection

dc.contributor.author	Ξύδας, Ιωάννης	el
dc.contributor.author	Μιαούλης, Γεώργιος	el
dc.contributor.author	Bonnefoi, Pierre-François	el
dc.contributor.author	Πλεμμένος, Δημήτρης	el
dc.contributor.author	Ghazanfarpour, Djamchid	en
dc.date.accessioned	2015-05-07T16:50:07Z
dc.date.available	2015-05-07T16:50:07Z
dc.date.issued	2015-05-07
dc.identifier.uri	http://hdl.handle.net/11400/9837
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://users.teiath.gr/yxydas/Paper1_xydas.pdf	el
dc.source	http://www.siggraph.org/	en
dc.subject	Visualization
dc.subject	Information security
dc.subject	Intrusion detection
dc.subject	Web attacks
dc.subject	Expert systems (Computer science)
dc.subject	Neural networks
dc.subject	Anomaly detection (Computer security)
dc.subject	Network security
dc.subject	Surveillance aid
dc.subject	Οπτικοποίηση δεδομένων
dc.subject	Ασφάλεια πληροφοριών
dc.subject	Ανίχνευση εισβολής
dc.subject	Διαδικτυακές επιθέσεις
dc.subject	Έμπειρα συστήματα
dc.subject	Νευρωνικά δίκτυα
dc.subject	Εντοπισμός ανωμαλιών
dc.subject	Ασφάλεια δικτύου
dc.subject	Ενίσχυση επιτήρησης
dc.title	3D graph visualization prototype system for intrusion detection	en
heal.type	conferenceItem
heal.secondaryTitle	a surveillance aid to security analysts	en
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/sh85046450
heal.keywordURI	http://zbw.eu/stw/descriptor/19808-6
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2005007675
heal.identifier.secondary	ISBN: 2-9142256-08-6
heal.language	en
heal.access	free
heal.recordProvider	Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Πληροφορικής Τ.Ε.	el
heal.publicationDate	2006-05
heal.bibliographicCitation	Xydas, I., Miaoulis, G., Bonnefoi, P.F., Plemenos, D.and Ghazanfarpour, D. (2006) 3D graph visualization prototype system for intrusion detection: a surveillance aid to security analysts. In "9th International Conference on Computer Graphics and Artificial Intelligence". Limoges: [Eurogrpahics & ACM and SIGGRAPH]. Available from: http://users.teiath.gr/yxydas/Paper1_xydas.pdf [Accessed: 07/05/2015].	en
heal.abstract	Intrusion Detection (ID) and Intrusion Prevention (IP) systems are an indispensable part of the information security infrastructure of every networking company or organization. Intrusion Detections Systems (IDS) have problems, such as false positives, operational issues in high-speed environments and the difficulty of detecting unknown threats. Intrusion Prevention Systems (IPS) are still in their infancy. There is a misconception in the market that intrusion detection and intrusion prevention are basically the same technology or that IDS systems are on the way out and IPS and firewalls are the wave of the future. In fact, IDS are far from becoming obsolete and both systems complement each other. Much of ID research has focused on improving the accuracy and operation of IDSs but surprisingly there has been very little research into supporting the security analysts’ intrusion detection tasks. In this paper we will describe an ongoing surveillance prototype system which offers a visual aid to the security analyst by monitoring and exploring 3D graphs. The system offers a visual surveillance of the network activity on a web server for both normal and anomalous or malicious activity. Colors are used on the 3D graphics to indicate different categories of web attacks and the analyst has the ability to navigate into the web requests, of either normal or malicious traffic.	en
heal.publisher	Eurogrpahics	en
heal.publisher	ACM and SIGGRAPH	en
heal.fullTextAvailability	false
heal.conferenceName	9th International Conference on Computer Graphics and Artificial Intelligence	en
heal.conferenceItemType	full paper