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作 者:杨倩晨 YANG Qian-chen(Guangxi Ship Networking Engineering Technology Research Center,Guangxi V ocational Normal University,Nanning 530007,China)
机构地区:[1]广西船联网工程技术研究中心广西职业师范学院,广西南宁530007
出 处:《舰船科学技术》2023年第21期189-192,共4页Ship Science and Technology
摘 要:为了保证舰船在海上安全运行,提出基于知识图谱的舰船通信网络安全风险评价方法。采集舰船通信数据、预处理,根据实体间的联系建立舰船通信网络安全的知识图谱;采用图数据库对舰船通信网络数据的知识图谱进行储存与查询;建立知识图谱注意力网络的舰船通信网络安全风险评价模型。实验结果表明:该方法可准确评价舰船通信网络安全风险等级,具有较高的安全风险评价能力;能够提升舰船通信网络保密性、完整性和可用性。In order to ensure the safe operation of ships at sea,a knowledge graph based risk assessment method for ship communication network security is proposed.Collect and preprocess ship communication data,establish a knowledge graph of ship communication network security based on the connections between entities,and use a graph database to store and query the knowledge graph of ship communication network data.Establish a knowledge graph attention network based ship communication network security risk assessment model.The experimental results show that this method can accurately evaluate the level of ship communication network security risk and has high security risk assessment ability.This method can improve the confidentiality,integrity,and availability of ship communication networks.
关 键 词:数据采集 知识图谱 Neo4j图数据库 舰船通信网络 网络安全 风险评价
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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