TITLE

An Usage-Centric Botnet Taxonomy

AUTHOR(S)
Czosseck, Christian; Podins, Karlis
PUB. DATE
January 2011
SOURCE
Proceedings of the European Conference on Information Warfare & ;2011, p65
SOURCE TYPE
Conference Proceeding
DOC. TYPE
Article
ABSTRACT
Botnets have been a recognized threat to computer security for several years. On the timeline of malware development, they can be seen as the latest evolutionary step. Criminals have taken advantage of this new technol-ogy and cyber crime has grown to become a serious and sophisticated problem which law enforcement still finds difficult to deal with. In the past few years we are witnessing a movement away from cyber crime. Nation states be-come the target of attacks as well as actively using botnets to project their own power in the political or military do-main. To study the new and emerging cases of botnet usage we propose an usage-centric botnet taxonomy. Al-though there are already a number of botnet taxonomies published, most of them have a technical viewpoint and often consider cyber crime as the major driver to use botnets. While it may be true for now, we believe that such ap-proach might not be holistic enough to describe the current and future developments. Besides the trend of special-ized botnets being developed, the number of botnet users is increasing, with new motivations coming along. The taxonomy proposed in this paper takes a different viewpoint by focusing less on technical attributes than on the ac-tors using botnets and the functionality requested by them. Major difference from existing research is that proposed taxonomy classifies instances of botnet use. Based on existing taxonomies, case studies of recent botnet incidents and cyber warfare doctrines of selected nation-states, we explore theoretical and already seen ways of botnet usage. We propose new classification of botnets based on their technological attributes, the users and the intended effects on the target to provide a holistic picture of the current situation. We also test the proposed taxonomy on seven in-stances of botnet use.
ACCESSION #
67467523

 

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