- Title
- Human perception of the measurement of a network attack taxonomy in near real-time
- Creator
- Van Heerden, Renier, Malan, Mercia M, Mouton, Francois, Irwin, Barry V W
- Subject
- To be catalogued
- Date
- 2014
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/429924
- Identifier
- vital:72652
- Identifier
- https://doi.org/10.1007/978-3-662-44208-1_23
- Description
- This paper investigates how the measurement of a network attack taxonomy can be related to human perception. Network attacks do not have a time limitation, but the earlier its detected, the more damage can be prevented and the more preventative actions can be taken. This paper evaluate how elements of network attacks can be measured in near real-time(60 seconds). The taxonomy we use was developed by van Heerden et al (2012) with over 100 classes. These classes present the attack and defenders point of view. The degree to which each class can be quantified or measured is determined by investigating the accuracy of various assessment methods. We classify each class as either defined, high, low or not quantifiable. For example, it may not be possible to determine the instigator of an attack (Aggressor), but only that the attack has been launched by a Hacker (Actor). Some classes can only be quantified with a low confidence or not at all in a sort (near real-time) time. The IP address of an attack can easily be faked thus reducing the confidence in the information obtained from it, and thus determining the origin of an attack with a low confidence. This determination itself is subjective. All the evaluations of the classes in this paper is subjective, but due to the very basic grouping (High, Low or Not Quantifiable) a subjective value can be used. The complexity of the taxonomy can be significantly reduced if classes with only a high perceptive accuracy is used.
- Format
- 11 pages, pdf
- Language
- English
- Relation
- International Conference on Human Choice and Computers, HCC11, Van Heerden, R., Malan, M.M., Mouton, F. and Irwin, B., 2014. Human perception of the measurement of a network attack taxonomy in near real-time. In ICT and Society: 11th IFIP TC 9 International Conference on Human Choice and Computers, HCC11 2014, Turku, Finland, July 30–August 1, 2014. Proceedings 11 (pp. 280-292). Springer Berlin Heidelberg, International Conference on Human Choice and Computers, HCC11 volume 2014 number 1 280 292 2014 978-3-662-44208-1
- 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)
- Hits: 217
- Visitors: 219
- Downloads: 5
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 | Human perception of the measurement of a network attack taxonomy in near real-time.pdf | 620 KB | Adobe Acrobat PDF | View Details |