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首页> 外文期刊>International journal of mobile computing and multimedia communications >Security Model of Internet of Things Based on Binary Wavelet and Sparse Neural Network
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Security Model of Internet of Things Based on Binary Wavelet and Sparse Neural Network

机译：基于二进小波和稀疏神经网络的物联网安全模型

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摘要

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.
机译：当前，物联网没有标准的系统架构。根据普遍感知，可靠传输，智能处理以及人类，人类和物质实现物与物之间实时通信的要求，互联网需要以开放，分层，可扩展的网络体系结构为框架。感官设备安全检查平台通过开放式现场检查来支持平台测量设备并提供运动模拟环境，包括各种运动和网络环境及安全管理中心，并开启应用网关支持。它检查知识库。在这种启发下，本文提出了一种基于稀疏神经网络和小波分析的新型安全模型。实验表明，与其他现有算法相比，该模型的性能更好。

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