An Analysis of the Slapper Worm
IEEE Security and Privacy
A self-aware approach to denial of service defence
Computer Networks: The International Journal of Computer and Telecommunications Networking
SSYM'04 Proceedings of the 13th conference on USENIX Security Symposium - Volume 13
Detecting targeted attacks using shadow honeypots
SSYM'05 Proceedings of the 14th conference on USENIX Security Symposium - Volume 14
Peer-to-peer botnets: overview and case study
HotBots'07 Proceedings of the first conference on First Workshop on Hot Topics in Understanding Botnets
An advanced hybrid peer-to-peer botnet
HotBots'07 Proceedings of the first conference on First Workshop on Hot Topics in Understanding Botnets
My botnet is bigger than yours (maybe, better than yours): why size estimates remain challenging
HotBots'07 Proceedings of the first conference on First Workshop on Hot Topics in Understanding Botnets
A case study of the rustock rootkit and spam bot
HotBots'07 Proceedings of the first conference on First Workshop on Hot Topics in Understanding Botnets
HotBots'07 Proceedings of the first conference on First Workshop on Hot Topics in Understanding Botnets
Dealing with software viruses: A biological paradigm
Information Security Tech. Report
Measurements and mitigation of peer-to-peer-based botnets: a case study on storm worm
LEET'08 Proceedings of the 1st Usenix Workshop on Large-Scale Exploits and Emergent Threats
IEEE Security and Privacy
QEST '08 Proceedings of the 2008 Fifth International Conference on Quantitative Evaluation of Systems
Steps toward self-aware networks
Communications of the ACM - Barbara Liskov: ACM's A.M. Turing Award Winner
A Systematic Study on Peer-to-Peer Botnets
ICCCN '09 Proceedings of the 2009 Proceedings of 18th International Conference on Computer Communications and Networks
Packet Delay and Energy Consumption in Non-homogeneous Networks
The Computer Journal
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In this paper, we present a general model for an advanced peer-to-peer (P2P) botnet, in which the performance of the botnet can be systematically studied. From the model, we can derive five performance metrics to describe the robustness, security and efficiency of the botnet. Additionally, we analyze the relationship between the performance metrics and the model feature metrics of the botnet, and it is helpful to study the botnet under different model feature metrics. Furthermore, the proposed model can be easily applied to other types of botnets. Finally, taking the robustness and security into consideration, an optimization scheme for designing an optimal P2P botnet is proposed.