Analysis of Virus Propagations on Community-Based Wireless Sensor Networks

DOI

10.2991/ceis-16.2016.112How to use a DOI?

Keywords

community; mathematical analysis; network structure; virus propagation

Abstract

Self-organizing dense sensor networks are expected to resolve the challenges of spectral efficiency, energy equilibrium, and device management. Because of cost and resource constraints, the sensor node is fragile to outside virus attacks. In this paper, we propose a community-based network model to depict complex network structures. Virus attacking behaviors and the virus propagation are theoretically analyzed in three cases when it spreads over the network. The mathematical analysis shows that the total number of infected nodes increases exponentially with the epidemic time. Structures of networks, the infection probability and the shortcut probability affect the rate and extent of spreading of viruses simultaneously. The conclusions are validated through simulations and evaluations, and are envisioned to have future applications in the immunization of wireless sensor networks.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qiao Li
AU  - Jian-Gao Chen
AU  - Xiao-Feng Wang
AU  - Cheng-Wang Zhao
AU  - Bin Wu
PY  - 2016/11
DA  - 2016/11
TI  - Analysis of Virus Propagations on Community-Based Wireless Sensor Networks
BT  - Proceedings of the 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SP  - 550
EP  - 558
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.112
DO  - 10.2991/ceis-16.2016.112
ID  - Li2016/11
ER  -