Abstract
The characteristics of wireless sensor networks can be programmed over the air interface lead to a serious threat to its security. This paper proposed susceptible - infectious - recovered model of propagation based on two - dimensional cellular automata, which analyzes the characteristics of dynamic propagation in the wireless sensor networks with regional detection mechanism. Numerical simulation analysis shows that regional detection mechanism not only makes the wireless sensor networks regionalization, but also can inhibit the malware propagation in the wireless sensor networks by allowing the sensor to implement detecting strategy, thereby reducing the risk of large-scale outbreak of virus in wireless sensor networks.
Supported by the National Natural Science Foundation of China (Grant Nos. 61373136, 61374180), the Ministry of Education Research in the Humanities and Social Sciences Planning Fund of China (Grant No. 12YJAZH120), the Six Projects Sponsoring Talent Summits of Jiangsu Province, China (Grant No. RLD201212).
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Acknowledgments
The authors thank the National Natural Science Foundation of China (Grant Nos. 61373136, 61374180), the Ministry of Education Research in the Humanities and Social Sciences Planning Fund of China (Grant No. 12YJAZH120), the Six Projects Sponsoring Talent Summits of Jiangsu Province of China (Grant No. RLD201212) for supporting this work.
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Hu, J., Song, Y. (2015). The Model of Malware Propagation in Wireless Sensor Networks with Regional Detection Mechanism. In: Sun, L., Ma, H., Fang, D., Niu, J., Wang, W. (eds) Advances in Wireless Sensor Networks. CWSN 2014. Communications in Computer and Information Science, vol 501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46981-1_61
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DOI: https://doi.org/10.1007/978-3-662-46981-1_61
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