基于知识图谱的5G通信网络安全态势感知方法  

The Situational Awareness Method of 5G Communication Network Security Based on Knowledge Graph

作　　者：李帅景 李银地 LI Shuaijing;LI Yindi(College of Information and Electronic Engineering,Shangqiu Institute of Technology,Shangqiu 476000,China)

机构地区：[1]商丘工学院信息与电子工程学院,河南商丘476000

出　　处：《通信电源技术》2025年第3期234-236,共3页Telecom Power Technology

摘　　要：为提高5G通信网络安全态势感知,开展基于知识图谱的感知方法研究。构建5G通信网络安全知识图谱,整合网络安全相关的实体、属性及关系。基于此图谱发现攻击场景、理解网络态势,通过特征提取技术,从网络攻击特征事件中提取关键信息确定恶意节点。最后,结合恶意节点评估影响力,深入理解网络态势。实验证明,新方法能够有效识别潜在威胁,提高准确性和及时性,为5G安全防护提供支持。该方法不仅提高了网络安全态势感知的智能化水平,还能为后续防护和响应提供科学依据。In order to improve the security situation awareness of 5G communication network,a knowledge mapbased awareness method was studied.Construct the knowledge map of 5G communication network security,and integrate the entities,attributes and relationships related to network security.Based on this map,we can find the attack scene and understand the network situation.Through feature extraction technology,we can extract key information from the network attack feature events to determine malicious nodes.Finally,the influence of malicious nodes is evaluated to deeply understand the network situation.Experiments show that the new method can effectively identify potential threats,improve accuracy and timeliness,and provide support for 5G security protection.This method not only improves the intelligence level of network security situation awareness,but also provides scientific basis for subsequent protection and response.

关 键 词：知识图谱 通信 安全态势 网络 5G 感知 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]