- Title
- Using inetvis to evaluate snort and bro scan detection on a network telescope
- Creator
- Irwin, Barry V W, van Riel, J P
- Subject
- To be catalogued
- Date
- 2008
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/429981
- Identifier
- vital:72656
- Identifier
- https://doi.org/10.1007/978-3-540-78243-8_17
- Description
- This paper presents an investigative analysis of net-work scans and scan detection algorithms. Visualisa-tion is employed to review network telescope traffic and identify incidents of scan activity. Some of the identified phenomena appear to be novel forms of host discovery. Scan detection algorithms used by the Snort and Bro intrusion detection systems are cri-tiqued by comparing the visualised scans with alert output. Where human assessment disagrees with the alert output, explanations are sought by analysing the detection algorithms. The Snort and Bro algorithms are based on counting unique connection attempts to destination addresses and ports. For Snort, notable false positive and false negative cases result due to a grossly oversimplified method of counting unique destination addresses and ports.
- Format
- 16 pages, pdf
- Language
- English
- Relation
- Proceedings of the Workshop on Visualization for Computer Security, Irwin, B. and van Riel, J.P., 2008. Using inetvis to evaluate snort and bro scan detection on a network telescope. In VizSEC 2007: Proceedings of the Workshop on Visualization for Computer Security (pp. 255-273). Berlin, Heidelberg: Springer Berlin Heidelberg, Proceedings of the Workshop on Visualization for Computer Security volume 2008 number 1 255 273 2008 978-3-540-78243-8
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the SpringerLink Terms of Use Statement ( https://link.springer.com/termsandconditions)
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- Visitors: 14
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Collections
Irwin, Barry V W (Prof)
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
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