DocumentCode
3537431
Title
A new approach to developing attack taxonomies for network security - including case studies
Author
Hunt, Ray ; Slay, Jill
Author_Institution
Univ. of Canterbury, Christchurch, New Zealand
fYear
2011
fDate
14-16 Dec. 2011
Firstpage
281
Lastpage
286
Abstract
Taxonomies have been widely documented in the literature and a number of classical approaches exist. The main problem is that many of these approaches are very general and, for example, apply to all networks and computer systems. The intention of this paper is not to invent a new taxonomy architecture but to create a model which is adaptable to new types of networks and new attack vectors and which can then be applied and be of use in specific situations. When the “classical” taxonomies were developed systems such as cloud computing, 3G malware, VoIP and social engineering vulnerabilities were unheard of. This paper therefore proposes a model which can be readily adapted to be of value in attack classification and vulnerability detection for specific cases such as those illustrated above. Thus the model can be adapted to new types of networks, devices and systems as they evolve as well as being able to incorporate new attack categories and techniques and adapt to new types of protection mechanisms.
Keywords
Internet telephony; computer network security; invasive software; pattern classification; protocols; 3G malware; VoIP; attack category; attack classification; attack taxonomy development; attack vector; cloud computing; computer system; network security; protection mechanism; social engineering vulnerability; voice-over-Internet protocol; vulnerability detection; Cloud computing; Computer crime; Malware; Mobile communication; Mobile computing; Taxonomy; ISP attacks; cloud network security; mobile malware; network attacks; taxonomy;
fLanguage
English
Publisher
ieee
Conference_Titel
Networks (ICON), 2011 17th IEEE International Conference on
Conference_Location
Singapore
ISSN
1556-6463
Print_ISBN
978-1-4577-1824-3
Type
conf
DOI
10.1109/ICON.2011.6168489
Filename
6168489
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