δείτε την πρωτότυπη σελίδα τεκμηρίου στον ιστότοπο του αποθετηρίου του φορέα για περισσότερες πληροφορίες και για να δείτε όλα τα ψηφιακά αρχεία του τεκμηρίου*
Using visual analytics for web intrusion detection
(EN)
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 paper we describe an ongoing surveillance prototype
system which offers a visual aid to the web and 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. Artificial Intelligence is combined with Visualization to detect and display
unauthorized web traffic.
(EN)
*Η εύρυθμη και αδιάλειπτη λειτουργία των διαδικτυακών διευθύνσεων των συλλογών (ψηφιακό αρχείο, καρτέλα τεκμηρίου στο αποθετήριο) είναι αποκλειστική ευθύνη των αντίστοιχων Φορέων περιεχομένου.
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