边缘计算场景下基于神经网络的可信评估机制分析  

Study on Trusted Evaluation Mechanism Based onNeural Network in Edge Computing Scenarios

作　　者：高红亮 程睿远 赵金凤 杨剑 杜鹏飞 GAO Hongliang;CHENG Ruiyuan;ZHAO Jinfeng;YANG Jian;DU Pengfei(Shanghai Electrical Apparatus Research Institute(Group)Co.,Ltd.,Shanghai 200063,China;Shanghai Electric Appliance Research Institute,Shanghai 200063,China)

机构地区：[1]上海电器科学研究所(集团)有限公司,上海200063 [2]上海电器科学研究院,上海200063

出　　处：《电子技术（上海）》2023年第9期16-19,共4页Electronic Technology

基　　金：科技部国家重点研发计划“网络协同制造和智能工厂”专项(2019YFB1705701)。

摘　　要：阐述在边缘计算场景中,基于神经网络的可信评估技术,分析终端设备的行为和能力等多个维度属性数据,设计并实现一种基于BP神经网络的可信评估模型,通过Python软件进行试验,从而验证BP神经网络模型的性能。This paper describes the trusted evaluation technology based on neural network in the edge computing scene,analyzes the behavior and capability of terminal devices and other multi-dimensional attribute data,designs and implements a trusted evaluation model based on BP neural network,and conducts experiments through Python software to verify the performance of BP neural network model.

关 键 词：边缘计算 可信评估 可信接入安全 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TP183[自动化与计算机技术—计算机科学与技术]