Modeling and Simulation Study of the Propagation and Defense of Internet E-mail Worms
IEEE Transactions on Dependable and Secure Computing
A Distributed Immunization Strategy Based on Autonomy-Oriented Computing
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Power-Law Distributions in Empirical Data
SIAM Review
Effective epidemic control via strategic vaccine deployment: a systematic approach
Proceedings of the 1st ACM International Health Informatics Symposium
Network immunization and virus propagation in email networks: experimental evaluation and analysis
Knowledge and Information Systems - Special Issue: Best Papers of the Fifth International Conference on Advanced Data Mining and Applications (ADMA 2009)
Network Immunization with Distributed Autonomy-Oriented Entities
IEEE Transactions on Parallel and Distributed Systems
Modeling and predicting the dynamics of mobile virus spread affected by human behavior
WOWMOM '11 Proceedings of the 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks
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In recent years, immunization strategies have been developed for stopping epidemics in complex-network-like environments. So far, there exist two limitations in the current propagation models and immunization strategies: (1) the propagation models focus only on the network structure underlying virus propagation and the models are static; (2) the immunization strategies are offline and non-adaptive in nature, i.e., these strategies pre-select and pre-immunize "important" nodes before virus propagation starts. In this paper, we extend an interactive email propagation model in order to observe the effects of human behaviors on virus propagation, and furthermore we propose an adaptive AOC-based immunization strategy for protecting dynamically-evolving email networks. Our experimental results have shown that our strategy as an online strategy can adapt to the dynamic changes (e.g., growth) of networks.