Abstract
With the acceleration of the Internet of things (IoT) construction, the security and energy consumption of IoT will become an import factor restricting the overall development of the IoT. In order to reduce the energy consumption of the IoT heterogeneous perceptual network in the attack-defense process, the placement strategy of the intrusion detection system (IDS) described in this paper is to place the IDS on the cluster head nodes selected by the clustering algorithm called ULEACH, which we have proposed in this paper. Furthermore, by applying modified particle swarm optimization, the optimal defense strategy is obtained. Finally, the experiment results show that proposed strategy not only effectively detects multiple network attacks, but also reduces energy consumption.
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This paper is supported by National Natural Science Fund NSF: 61272033 & 61572222.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhou, M., Han, L., Lu, H., Fu, C. (2019). Intrusion Detection System for IoT Heterogeneous Perceptual Network Based on Game Theory. In: Li, J., Liu, Z., Peng, H. (eds) Security and Privacy in New Computing Environments. SPNCE 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 284. Springer, Cham. https://doi.org/10.1007/978-3-030-21373-2_37
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DOI: https://doi.org/10.1007/978-3-030-21373-2_37
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