摘要
网络安全是算网融合的基石,需要全方位提升算网融合中的网络安全感知、监测和评估能力,本文针对算网融合中的安全问题从基础设施层安全、编排管理层安全、运营服务层安全、数据安全、图计算挖掘和应用、安全防护技术及态势感知等维度做了初步分析。面向构筑泛在分布式安全算网大脑,通过A完成数据资产的梳理,支持对元数据全生命周期进行监测,支持对数据资源流转进行管理,支持对数据安全风险进行监测。以图技术方式进行实现数据挖掘和应用。针对算网融合面临的网络攻击和数据隐私泄露等严重安全风险,本文提出引入加密流量监测、可信计算、追踪溯源、智能编排等技术,以实现算网融合的安全可信。
Network security is the cornerstone of computing power and network integration.It is necessary to improve network security awareness,monitoring,and evaluation capabilities in all aspects.It makes a comprehensive analysis on network security issues in computing power and network integration from dimensions of network infrastructure layer security,combination and scheduling layer security,operation service layer security,data security,graph processing mining and application,security prevention technique,situational awareness etc.It is set up gradually evolving security capabilities for building a ubiquitous distributed security network computing brain.It identifies data assets according to AI(artificial intelligence)models,it supports metadata monitoring throughout its life cycle,management of data resource flow,and monitoring of data security risks.It is realized by graph technology for data mining and application.In view of the serious security risks such as network attacks and data privacy leakage faced by computing power and network integration,it proposes to introduce technologies such as encrypted traffic monitoring,trusted computing,tracing,and intelligent orchestration to achieve the security and credibility of computer power and network integration.
作者
黄敏
黄晶
Huang Min;Huang Jing(China Mobile Guangxi branch Co.,Ltd,Nanning Guangxi,530012;EVERSEC(Bei Jing)technology Co.,Ltd,Beijing,100191)
出处
《工业信息安全》
2023年第1期35-41,共7页
Industry Information Security
关键词
算网融合
数据安全
安全算网大脑
图计算
人工智能
Computing Power and Network Integration
Date Security
Network Security Computing Brain
Graph Processing
Artificial Intelligence