An analytical model on the propagation of modern email worms

Zhou, Wei, Wen, Sheng, Wang, Yini, Xiang, Yang and Zhou, Wanlei 2012, An analytical model on the propagation of modern email worms, in TrustCom 2012 : Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, IEEE, Piscataway, N.J., pp. 533-540.

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Title An analytical model on the propagation of modern email worms
Author(s) Zhou, Wei
Wen, Sheng
Wang, Yini
Xiang, Yang
Zhou, Wanlei
Conference name IEEE Trust, Security and Privacy in Computing and Communications. Conference (11th : 2012 : Liverpool, England)
Conference location Liverpool, England
Conference dates 25-27 Jun. 2012
Title of proceedings TrustCom 2012 : Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications
Editor(s) Min, Geyong
Wu, Yulei
Lei, Liu (Chris)
Jin, Xiaolong
Jarvis, Stephen
Al-Dubai, Ahmed Y.
Publication date 2012
Conference series IEEE Trust, Security and Privacy in Computing and Communications Conference
Start page 533
End page 540
Total pages 8
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) analytical modeling
email worms
propagation dynamics
security
Summary Email worms propagate across networks by taking advantage of email relationships. Modeling the propagation of email worms can help predict their potential damages and develop countermeasures. We propose a novel analytical model on the propagation process of modern reinfection email worms. It relies on probabilistic analysis, and thus can provide a steady and reliable assessment on the propagation dynamics. Additionally, by introducing virtual users to represent the repetitious spreading process, the proposed model overcomes the computational challenge caused by reinfection processes. To demonstrate the benefits of our model, we conduct a series of experimental evaluation. The results show that our novel approach achieves a greater accuracy and is more suitable for modeling modern email worms than previous models.
ISBN 9780769547459
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2012, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30051370

Document type: Conference Paper
Collection: School of Information Technology
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