- Title
- An Evaluation Of Scan-Detection Algorithms In Network Intrusion Detection Systems
- Creator
- Barnett, Richard J, Irwin, Barry V W
- Date
- 2008
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/428701
- Identifier
- vital:72530
- Identifier
- https://digifors.cs.up.ac.za/issa/2008/Proceedings/Research/29.pdf
- Description
- Network Intrusion Detection Systems are becoming more prevalent as devices to protect a network. However, the methods they use for some forms of detection are flawed. This paper builds upon existing research by van Riel and Irwin which illustrated these flaws in Snort and Bro's scan-detection engines. Indeed, it has been ascertained that a number of different scanning techniques are not identified by either Snort or Bro. This paper highlights current research into the improvement of these scan detection algorithms and presents insight into how this re-search is being conducted at Rhodes University. This research will im-prove on the scan detection engines in Snort and Bro, permitting them to be used in a production environment without fear of succumbing to the false negative problem which currently exists.
- Format
- 12 pages, pdf
- Language
- English
- Relation
- Information Security for South Africa, Barnett, R.J. and Irwin, B., An Evaluation Of Scan-Detection Algorithms In Network Intrusion Detection Systems. In ISSA (pp. 1-12), Information Security for South Africa volume 2008 number 1 12 2008 2330-9881
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the IEEE Xplore Terms of Use Statement (https://ieeexplore.ieee.org/Xplorehelp/overview-of-ieee-xplore/terms-of-use)
- Hits: 85
- Visitors: 92
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Collections
Irwin, Barry V W (Prof)
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details | SOURCE1 | An Evaluation of Scan-Detection Algorithms in Network Intrusion Detection Systems.pdf | 736 KB | Adobe Acrobat PDF | View Details |