Data Visualization White Papers
Svision: Visual Identification of Scanning and Denial of Service Attacks
Overview This paper proposes a novel graphical technique (SVision) for intrusion detection, which pictures the network as a community of hosts independently roaming in a 3D space defined by the set of services that they use. The aim of SVision is to graphically cluster the hosts into normal and abnormal ones, highlighting only the ones that are considered as a threat to the network. The experimental results using DARPA 1999 and 2000 intrusion detection and evaluation datasets show the proposed technique as a good candidate for the detection of various threats of the network such as vertical and horizontal scanning, Denial of Service (DoS), and Distributed DoS (DDoS) attacks.
| Publisher | World Academy of Science, Engineering and Technology | File Format | |
|---|---|---|---|
| Date Published | June 2005 | ||
| Format | White Papers | ||
| Topics | |||
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