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Research on security trust measure model based on fuzzy mathematics

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  • Wei, PengCheng
  • He, Fangcheng

Abstract

The existing safety measurement model has the disadvantages of poor reliability and stability. In order to improve the reliability of the security trust measurement structure, a fuzzy trust-based security trust measurement model is proposed. The hierarchical fuzzy transmission network is used to establish the mathematical model of the controlled object, and the control objective function is analyzed. The regression analysis model is combined with the convergence constraint function, and the fuzzy adaptive learning is performed according to the security trusted computing output weight, and the parameter analysis is performed. And adjust; on this basis, establish a mathematical model of safety confidence measurement, and perform parameter feedback adjustment and reliability control to improve the reliability of the security trust measurement structure. The simulation results show that the proposed method has good reliability and steady-state convergence, and can effectively improve the reliability calculation ability of the safety confidence measure. It has strong application advantages.

Suggested Citation

  • Wei, PengCheng & He, Fangcheng, 2019. "Research on security trust measure model based on fuzzy mathematics," Chaos, Solitons & Fractals, Elsevier, vol. 128(C), pages 139-143.
    • Handle: RePEc:eee:chsofr:v:128:y:2019:i:c:p:139-143
    DOI: 10.1016/j.chaos.2019.05.034
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    References listed on IDEAS

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    1. Amir Arbabi & Yu Horie & Alexander J. Ball & Mahmood Bagheri & Andrei Faraon, 2015. "Subwavelength-thick lenses with high numerical apertures and large efficiency based on high-contrast transmitarrays," Nature Communications, Nature, vol. 6(1), pages 1-6, November.
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