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Multimedia detection algorithm of malicious nodes in intelligent grid based on fuzzy logic

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Abstract

Intelligent grid transmits data by means of wireless communication. The wireless communication network is vulnerable to multiple kinds of network attacks. Trust model is considered to be an important way to defend against malicious network attacks in large-scale communication networks. Concerning the problem of node attack in smart grid, a trust model FLTM based on fuzzy logic is proposed. FLTM model makes full use of fuzzy logic system to deal with uncertainties, estimates the overall trust value of nodes, and then detects malicious nodes. Taking direct trust, indirect trust and historical trust as inputs, the output is the overall trust of the node. Experimental data show that the proposed FLTM model can detect malicious nodes effectively. In the later stage, the FLTM model is applied to routing, thus improving the performance of data transmission.

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Liaoning Technical University, Huludao, 125105, Liaoning, China

    Mingming Gao, Yue Wu, Jingchang Nan & Shuyang Cui

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  1. Mingming Gao
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  2. Yue Wu
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  3. Jingchang Nan
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  4. Shuyang Cui
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Correspondence to Mingming Gao.

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Gao, M., Wu, Y., Nan, J. et al. Multimedia detection algorithm of malicious nodes in intelligent grid based on fuzzy logic. Multimed Tools Appl 78, 24011–24022 (2019). https://doi.org/10.1007/s11042-019-7191-6

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  • DOI: https://doi.org/10.1007/s11042-019-7191-6

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