期刊
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
卷 15, 期 7, 页码 4285-4294出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2019.2907754
关键词
Cloud computing; correlation; edge artificial intelligence; lateral movement; network security
类别
资金
- National Natural Science Foundation of China [61871140, 61572153, 61702220, 61702223, U1636215]
- National Key Research and Development Plan [2018YFB0803504]
Edge computing provides high-class intelligent services and computing capabilities at the edge of the networks. The aim is to ease the backhaul impacts and offer an improved user experience. However, the edge artificial intelligence exacerbates the security of the cloud computing environment due to the dissociation of data, access control, and service stages. In order to prevent users from carrying out lateral movement attacks in an edge-cloud computing environment, in this paper we propose a real-time lateral movement detection method, named CloudSEC, based on an evidence reasoning network for the edge-cloud environment. First, the concept of vulnerability correlation is introduced. Based on the vulnerability knowledge and environmental information of the network system, the evidence reasoning network is constructed, and the lateralmovement reasoning ability provided by the evidence reasoning network is then used. The experiment results show that Cloud-SEC provides a strong guarantee for the rapid and effective evidence investigation, as well as real-time attack detection.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据