A deep learning access controlmodel based on user preferences is proposed to address the issue of personal privacy leakage in social networks.Firstly,socialusers andsocialdata entities are extractedfromthe social netw...A deep learning access controlmodel based on user preferences is proposed to address the issue of personal privacy leakage in social networks.Firstly,socialusers andsocialdata entities are extractedfromthe social networkandused to construct homogeneous and heterogeneous graphs.Secondly,a graph neural networkmodel is designed based on user daily social behavior and daily social data to simulate the dissemination and changes of user social preferences and user personal preferences in the social network.Then,high-order neighbor nodes,hidden neighbor nodes,displayed neighbor nodes,and social data nodes are used to update user nodes to expand the depth and breadth of user preferences.Finally,a multi-layer attention network is used to classify user nodes in the homogeneous graph into two classes:allow access and deny access.The fine-grained access control problem in social networks is transformed into a node classification problem in a graph neural network.The model is validated using a dataset and compared with other methods without losing generality.The model improved accuracy by 2.18%compared to the baseline method GraphSAGE,and improved F1 score by 1.45%compared to the baseline method,verifying the effectiveness of the model.展开更多
《资源描述与检索》(Resource Description and Access,RDA)的问世,是国际编目理念和实践的深刻变革,也为国内中外文编目规则实现统一提供了最大机遇。介绍了RDA创立的"作品规范检索点"的概念及其作用,指出了国内中文编目规...《资源描述与检索》(Resource Description and Access,RDA)的问世,是国际编目理念和实践的深刻变革,也为国内中外文编目规则实现统一提供了最大机遇。介绍了RDA创立的"作品规范检索点"的概念及其作用,指出了国内中文编目规则在实现目录职能方面存在的明显不足,并通过几个实例论述了将"作品规范检索点"应用于国内中文编目的必要性和可能性,以便为实现国内中外文编目规则的统一创造重要的前提条件。展开更多
基金supported by the National Natural Science Foundation of China Project(No.62302540)The Open Foundation of Henan Key Laboratory of Cyberspace Situation Awareness(No.HNTS2022020)+2 种基金Natural Science Foundation of Henan Province Project(No.232300420422)The Natural Science Foundation of Zhongyuan University of Technology(No.K2023QN018)Key Research and Promotion Project of Henan Province in 2021(No.212102310480).
文摘A deep learning access controlmodel based on user preferences is proposed to address the issue of personal privacy leakage in social networks.Firstly,socialusers andsocialdata entities are extractedfromthe social networkandused to construct homogeneous and heterogeneous graphs.Secondly,a graph neural networkmodel is designed based on user daily social behavior and daily social data to simulate the dissemination and changes of user social preferences and user personal preferences in the social network.Then,high-order neighbor nodes,hidden neighbor nodes,displayed neighbor nodes,and social data nodes are used to update user nodes to expand the depth and breadth of user preferences.Finally,a multi-layer attention network is used to classify user nodes in the homogeneous graph into two classes:allow access and deny access.The fine-grained access control problem in social networks is transformed into a node classification problem in a graph neural network.The model is validated using a dataset and compared with other methods without losing generality.The model improved accuracy by 2.18%compared to the baseline method GraphSAGE,and improved F1 score by 1.45%compared to the baseline method,verifying the effectiveness of the model.
文摘《资源描述与检索》(Resource Description and Access,RDA)的问世,是国际编目理念和实践的深刻变革,也为国内中外文编目规则实现统一提供了最大机遇。介绍了RDA创立的"作品规范检索点"的概念及其作用,指出了国内中文编目规则在实现目录职能方面存在的明显不足,并通过几个实例论述了将"作品规范检索点"应用于国内中文编目的必要性和可能性,以便为实现国内中外文编目规则的统一创造重要的前提条件。
