摘要
随着云计算的快速发展,容器技术越来越多地引起广泛关注。同时容器也面临着很多安全风险而且对容器入侵检测技术的研究尚处于探索研究阶段。本文从云容器的背景技术出发,分析了容器安全领域中面临的各种风险问题,进而从容器漏洞、主机、网络3个层面论述了容器异常入侵检测技术的最新发展和在容器安全领域中的深入应用。另外,本文归纳了容器安全领域中面向深度学习算法的数据集现状以及现用的容器安全商业解决方案,最后,展望了异常检测技术在容器安全领域的发展趋势和应用前景。
With the rapid development of cloud computing,container technology is attracting wide attentions.However,containers also face many unknown security risks,the research on container intrusion detection technology is still in the preliminary exploration stage.This paper analyzes the various risks in the container security field on the basis of the background technology of cloud container,and further discusses the latest development of container anomaly intrusion detection technology and its deep-going applications in the container security field from three aspects of container vulnerability,host and network.Moreover,the status of data sets for deep learning algorithms in container security field and the current container security business solutions are summarized.Finally,we very briefly conclude the future trend and application perspectives of anomaly detection technology in the field of container security field.
作者
范源艺
张增军
徐成华
魏育成
蔡刚
朱科键
FAN Yuanyi;ZHANG Zengjun;XU Chenghua;WEI Yucheng;CAI Gang;ZHU Kejian(University of Chinese Academy of Sciences,Beijing,100049 China;Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,100190 China;GEODO(Beijing),Beijing 100190 China;Shenzhen Research Center of Digital City Engineering,Beijing,100190 China)
出处
《科技创新导报》
2021年第13期118-125,共8页
Science and Technology Innovation Herald
基金
军队后勤科研项目(项目编号:No.BS220R006)。
关键词
云计算
容器安全
异常检测
虚拟化
Cloud computing
Container security
Anomaly detection
Virtualization
