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Security Model of Internet of Things Based on Binary Wavelet and Sparse Neural Network
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Author(s): Zhihui Wang (School of Information Science and Engineering, Hebei North University, Zhangjiakou, China), Jingjing Yang (School of Information Science and Engineering, Hebei North University, Zhangjiakou, China), Benzhen Guo (School of Information Science and Engineering, Hebei North University, Zhangjiakou, China)and Xiaochun Cheng (Middlesex University, London, UK)
Copyright: 2019
Volume: 10
Issue: 1
Pages: 17
Source title:
International Journal of Mobile Computing and Multimedia Communications (IJMCMC)
Editor(s)-in-Chief: Agustinus Waluyo (Monash University, Australia)
DOI: 10.4018/IJMCMC.2019010101
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Abstract
At present, the internet of things has no standard system architecture. According to the requirements of universal sensing, reliable transmission, intelligent processing and the realization of human, human and the material, real-time communication between objects and things, the internet needs the open, hierarchical, extensible network architecture as the framework. The sensation equipment safe examination platform supports the platform through the open style scene examination to measure the equipment and provides the movement simulated environment, including each kind of movement and network environment and safety management center, turning on application gateway supports. It examines the knowledge library. Under this inspiration, this article proposes the novel security model based on the sparse neural network and wavelet analysis. The experiment indicates that the proposed model performs better compared with the other state-of-the-art algorithms.
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