Please use this identifier to cite or link to this item:
Title: Network security surveillance aid using intelligent visualization for knowledge extraction and decision making
Authors: Ξυδάς, Ιωάννης
Item type: Book chapter
Keywords: Visual analytics;Web Visualization;Web Intrusion Detection;Evolutionary Artificial Neural Networks;Network Security;Surveillance Aid;Οπτική αναλυτική;Απεικόνιση δεδομένων διαδικτύου;Ανίχνευση διαδικτυακής εισβολής;Εξελικτικά Τεχνητά Νευρωνικά Δίκτυα;Ασφάλεια δικτύου;Ενίσχυση επιτήρησης
Subjects: Technology
Computer science
Issue Date: 8-May-2015
Publisher: Springer Berlin Heidelberg
Abstract: Web sites are likely to be regularly scanned and attacked by both automated and manual means. Intrusion Detection Systems (IDS) assist security analysts by automatically identifying potential attacks from network activity and produce alerts describing the details of these intrusions. However, IDS have problems, such as false positives, operational issues in high-speed environments and the difficulty of detecting unknown threats. 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. Lately, security analysts face an increasing workload as their networks expand and attacks become more frequent. In this chapter we describe an ongoing surveillance prototype system which offers a visual aid to the web 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. Colours 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. The combination of interactive visualization and machine Intelligence facilitates the detection of flaws and intrusions in network security, the discovery of unknown threats and helps the analytical reasoning and the decision making process.
Language: English
Citation: Xydas, I. (2009) Network security surveillance aid using intelligent visualization for knowledge extraction and decision making. In: Miaoulis, G. and Plemenos, D. (eds) "Intelligent Scene Modelling Information Systems". Berlin: Springer Berlin Heidelberg, p. 185-214. Available from: [Accessed: 08/05/2015].
Book: Intelligent Scene Modelling Information Systems
Access scheme: Embargo
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
Appears in Collections:Δημοσιεύσεις

Files in This Item:
There are no files associated with this item.

This item is licensed under a Creative Commons License Creative Commons