Simulating email worm propagation based on social network and user behavior
Joint Authors
Zhu, Jianqiang
Yin, Kexin
Li, Wanlong
Hu, Ming
Source
The International Arab Journal of Information Technology
Issue
Vol. 16, Issue 5 (30 Sep. 2019), pp.854-861, 8 p.
Publisher
Publication Date
2019-09-30
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Email worms pose a significant security threat to organizations and computer users today.
Because they propagate over a logical network, the traditional epidemic model is unsuitable for modeling their propagation over the internet.
However, it is no doubt that accurate modeling the propagation of email worms is helpful to contain th9eir attacks in advance.
This paper presents a novel email worms’ propagation model, which is based on a directed and weighted social network.
Moreover, the effects of user’s behavior are also considered in this model.
To the author’s knowledge, there is little information available considering the effects of them in modeling their propagation.
A simulation algorithm is designed for verifying the effectiveness of the presented model.
The results show that the presented model can describe the propagation of email worms accurately.
Through simulating different containing strategies, we demonstrate that the infected key nodes in email social community can speed up the worm propagating.
Last, a new General Susceptible Infectious Susceptible (G-SIS) email worm model is presented, which can predict the propagation scale of email worms accurately.
American Psychological Association (APA)
Yin, Kexin& Li, Wanlong& Hu, Ming& Zhu, Jianqiang. 2019. Simulating email worm propagation based on social network and user behavior. The International Arab Journal of Information Technology،Vol. 16, no. 5, pp.854-861.
https://search.emarefa.net/detail/BIM-895083
Modern Language Association (MLA)
Hu, Ming…[et al.]. Simulating email worm propagation based on social network and user behavior. The International Arab Journal of Information Technology Vol. 16, no. 5 (Sep. 2019), pp.854-861.
https://search.emarefa.net/detail/BIM-895083
American Medical Association (AMA)
Yin, Kexin& Li, Wanlong& Hu, Ming& Zhu, Jianqiang. Simulating email worm propagation based on social network and user behavior. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 5, pp.854-861.
https://search.emarefa.net/detail/BIM-895083
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 860-861
Record ID
BIM-895083