Virus propagation and immunization strategies in email networks

Jiming LIU; Chao Gao; Ning Zhong

doi:10.1007/978-3-642-03348-3_23

Virus propagation and immunization strategies in email networks

Jiming LIU^*, Chao Gao, Ning Zhong

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

5 Citations (Scopus)

Abstract

This paper proposes a simulation model to characterize virus propagation in an email network and analyzes various defense strategies. We demonstrate the key factor which affects the efficiency of different strategies, and illustrate two phases of virus propagation. The results show that D-steps immunization is a feasible strategy in the case of finite resources and the efficiency of node-betweenness immunization is better than targeted immunization if we have the global information about a network.

Original language	English
Title of host publication	Advanced Data Mining and Applications - 5th International Conference, ADMA 2009, Proceedings
Pages	222-233
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-642-03348-3_23
Publication status	Published - 2009
Event	5th International Conference on Advanced Data Mining and Applications, ADMA 2009 - Beijing, China Duration: 17 Aug 2009 → 19 Aug 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5678 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Conference on Advanced Data Mining and Applications, ADMA 2009
Country/Territory	China
City	Beijing
Period	17/08/09 → 19/08/09

Scopus Subject Areas

Theoretical Computer Science
Computer Science(all)

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10.1007/978-3-642-03348-3_23

Cite this

LIU, J., Gao, C., & Zhong, N. (2009). Virus propagation and immunization strategies in email networks. In Advanced Data Mining and Applications - 5th International Conference, ADMA 2009, Proceedings (pp. 222-233). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5678 LNAI). https://doi.org/10.1007/978-3-642-03348-3_23

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title = "Virus propagation and immunization strategies in email networks",

abstract = "This paper proposes a simulation model to characterize virus propagation in an email network and analyzes various defense strategies. We demonstrate the key factor which affects the efficiency of different strategies, and illustrate two phases of virus propagation. The results show that D-steps immunization is a feasible strategy in the case of finite resources and the efficiency of node-betweenness immunization is better than targeted immunization if we have the global information about a network.",

author = "Jiming LIU and Chao Gao and Ning Zhong",

note = "Copyright: Copyright 2009 Elsevier B.V., All rights reserved.; 5th International Conference on Advanced Data Mining and Applications, ADMA 2009 ; Conference date: 17-08-2009 Through 19-08-2009",

year = "2009",

doi = "10.1007/978-3-642-03348-3_23",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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LIU, J, Gao, C & Zhong, N 2009, Virus propagation and immunization strategies in email networks. in Advanced Data Mining and Applications - 5th International Conference, ADMA 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5678 LNAI, pp. 222-233, 5th International Conference on Advanced Data Mining and Applications, ADMA 2009, Beijing, China, 17/08/09. https://doi.org/10.1007/978-3-642-03348-3_23

Virus propagation and immunization strategies in email networks. / LIU, Jiming; Gao, Chao; Zhong, Ning.
Advanced Data Mining and Applications - 5th International Conference, ADMA 2009, Proceedings. 2009. p. 222-233 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5678 LNAI).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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T1 - Virus propagation and immunization strategies in email networks

AU - LIU, Jiming

AU - Gao, Chao

AU - Zhong, Ning

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AB - This paper proposes a simulation model to characterize virus propagation in an email network and analyzes various defense strategies. We demonstrate the key factor which affects the efficiency of different strategies, and illustrate two phases of virus propagation. The results show that D-steps immunization is a feasible strategy in the case of finite resources and the efficiency of node-betweenness immunization is better than targeted immunization if we have the global information about a network.

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LIU J, Gao C, Zhong N. Virus propagation and immunization strategies in email networks. In Advanced Data Mining and Applications - 5th International Conference, ADMA 2009, Proceedings. 2009. p. 222-233. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-03348-3_23

Virus propagation and immunization strategies in email networks

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