中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Characteristic Insights on Industrial Cyber Security and Popular Defense Mechanisms

文献类型:期刊论文

作者Wan M(万明)1; Li JW(李嘉玮)1; Liu Y(刘颖)2; Zhao JM(赵剑明)3; Wang, Jiushuang2
刊名CHINA COMMUNICATIONS
出版日期2021
卷号18期号:1页码:130-150
关键词industrial cyber threats industrial characteristics vulnerabilities security mechanisms and viewpoints
ISSN号1673-5447
产权排序1
英文摘要

Due to the deep integration of information technology and operational technology, networked control systems are experiencing an increasing risk of international cyber attacks. In practice, industrial cyber security is a significant topic because current networked control systems are supporting various critical infrastructures to offer vital utility services. By comparing with traditional IT systems, this paper first analyzes the uncontrollable cyber threats and classified attack characteristics, and elaborates the intrinsic vulnerabilities in current networked control systems and novel security challenges in future Industrial Internet. After that, in order to overcome partial vulnerabilities, this paper presents a few representative security mechanisms which have been successfully applied in today's industrial control systems, and these mechanisms originally improve traditional IT defense technologies from the perspective of industrial availability. Finally, several popular security viewpoints, adequately covering the needs of industrial network structures and service characteristics, are proposed to combine with burgeoning industrial information technologies. We target to provide some helpful security guidelines for both academia and industry, and hope that our insights can further promote in-depth development of industrial cyber security.

WOS关键词NETWORK INTRUSION DETECTION ; ONE-CLASS CLASSIFICATION ; ANOMALY DETECTION ; SITUATIONAL AWARENESS ; RISK-ASSESSMENT ; INTERNET ; SYSTEMS ; FRAMEWORK ; SCADA ; CYBERSECURITY
资助项目National Key RD Program[2018YFA0701604] ; Natural Science Foundation of Liaoning Province[2019-MS-149]
WOS研究方向Telecommunications
语种英语
CSCD记录号CSCD:6888025
WOS记录号WOS:000612518100012
资助机构National Key RD Program [2018YFA0701604] ; Natural Science Foundation of Liaoning ProvinceNatural Science Foundation of Liaoning Province [2019-MS-149]
源URL[http://ir.sia.cn/handle/173321/28421]  
专题沈阳自动化研究所_工业控制网络与系统研究室
通讯作者Liu Y(刘颖)
作者单位1.School of Information, Liaoning University, Shenyang 110036, China
2.School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式
GB/T 7714
Wan M,Li JW,Liu Y,et al. Characteristic Insights on Industrial Cyber Security and Popular Defense Mechanisms[J]. CHINA COMMUNICATIONS,2021,18(1):130-150.
APA Wan M,Li JW,Liu Y,Zhao JM,&Wang, Jiushuang.(2021).Characteristic Insights on Industrial Cyber Security and Popular Defense Mechanisms.CHINA COMMUNICATIONS,18(1),130-150.
MLA Wan M,et al."Characteristic Insights on Industrial Cyber Security and Popular Defense Mechanisms".CHINA COMMUNICATIONS 18.1(2021):130-150.

入库方式: OAI收割

来源:沈阳自动化研究所

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