Overcoming reputation and proof-of-work systems in botnets
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| Overcoming reputation and proof-of-work systems in botnets | |
|---|---|
| Botnet | Storm |
| Malware | |
| Botnet/malware group | |
| Exploit kits | |
| Services | |
| Feature | |
| Distribution vector | |
| Target | |
| Origin | |
| Campaign | |
| Operation/Working group | |
| Vulnerability | |
| CCProtocol | |
| Date | 2010 / NSS 2010 |
| Editor/Conference | IEEE |
| Link | http://eprints.qut.edu.au/35657/ eprints.qut.edu.au (eprints.qut.edu.au Archive copy) |
| Author | Andrew White, Alan Tickle, Andrew Clark |
| Type | |
Abstract
“ Reputation and proof-of-work systems have been outlined as methods bot masters will soon use to defend their
peer-to-peer botnets. These techniques are designed to prevent sybil attacks, such as those that led to the downfall of the Storm botnet. To evaluate the effectiveness of these techniques, a botnet that employed these techniques was simulated, and the amount of resources required to stage a successful sybil attack against it measured. While the proof-of-work system was found to increase the resources required for a successful sybil attack, the reputation system was found to lower the amount of resources required to disable the botnet.
Bibtex
@misc{White2010BFR858,
editor = {IEEE},
author = {Andrew White, Alan Tickle, Andrew Clark},
title = {Overcoming reputation and proof-of-work systems in botnets},
date = {Error: Invalid time.},
month = Error: Invalid time.,
year = {2010},
howpublished = {\url{http://eprints.qut.edu.au/35657/ eprints.qut.edu.au}},
}