Title :
Overcoming Reputation and Proof-of-Work Systems in Botnets
Author :
White, Andrew ; Tickle, Alan ; Clark, Andrew
Author_Institution :
Inf. Security Inst., Queensland Univ. of Technol., Brisbane, QLD, Australia
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.
Keywords :
security of data; software agents; bot masters; proof-of-work systems; reputation system; sybil attacks; Command and control systems; Computational modeling; Cryptography; Peer to peer computing; Protocols; Servers; Storms; botnet; proof-of-work; reputation; sybil;
Conference_Titel :
Network and System Security (NSS), 2010 4th International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4244-8484-3
Electronic_ISBN :
978-0-7695-4159-4
DOI :
10.1109/NSS.2010.65