Fuzzy Harmony Search Technique for Cyber Risks in Industry 4.0 Wireless Communication Networks
2023-03-01
发表期刊PROCESSES
EISSN2227-9717
卷号11期号:3
发表状态已发表
DOI10.3390/pr11030951
摘要Industry 4.0 houses diverse technologies including wireless communication and shared networks for internal and external operations. Due to the wireless nature and remote operability, the exposure to security threats is high. Cyber risk detection and mitigation are prominent for secure industrial operations and planned outcomes. In addition, the system faces the threat of intelligence attacks, security standards issues, privacy concerns and scalability problems. The cyber risk related research problems influence overall data transmission in industry wireless communication networks. For augmenting communication security through cyber risk detection, this article introduces an Explicit Risk Detection and Assessment Technique (ERDAT) for cyber threat mitigation in the industrial process. A fuzzy harmony search algorithm powers this technique for identifying the risk and preventing its impact. The harmony search algorithm mimics the adversary impact using production factors such as process interruption or halting and production outcome. The search performs a mimicking operation for a high objective function based on production output for the admitted plan. The fuzzy operation admits the above factors for identifying the cyber impacting risk, either for its impacts or profitable outcome. In this process, the fuzzy optimization identifies the maximum or minimum objective output targeted for either outcome or risk interrupts, respectively. The fuzzy threshold is identified using a mediated acceptable range, computed as the ratio between minimum and maximum, mimicking occurrences between the risk and scheduled production outcomes. Therefore, the mimicking crossing or falling behind the threshold for the interruption/halting or production, respectively, are identified as risks and their source is detected. The detection communication source is disconnected from the industrial process for preventing further adversary impacts. The introduced system achieves 8.52% high-risk detection, 12.5% fewer outcome interrupts, 8.3% fewer halted schedules, 8.08% less interrupt span, and 7.94% less detection time compared to traditional methods.
关键词communication networks cyber security FHS industry 4 0 risk detection
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收录类别SCI
语种英语
WOS研究方向Engineering
WOS类目Engineering, Chemical
WOS记录号WOS:000958023400001
出版者MDPI
文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/292194
专题创意与艺术学院
创意与艺术学院_特聘教授组_汪军组
通讯作者Sun, Fanglei
作者单位
1.Tongji Univ, Coll Design & Innovat, Shanghai 200092, Peoples R China
2.ShanghaiTech Univ, Sch Creat & Art, Shanghai 201210, Peoples R China
通讯作者单位创意与艺术学院
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GB/T 7714
Diao, Zhifeng,Sun, Fanglei. Fuzzy Harmony Search Technique for Cyber Risks in Industry 4.0 Wireless Communication Networks[J]. PROCESSES,2023,11(3).
APA Diao, Zhifeng,&Sun, Fanglei.(2023).Fuzzy Harmony Search Technique for Cyber Risks in Industry 4.0 Wireless Communication Networks.PROCESSES,11(3).
MLA Diao, Zhifeng,et al."Fuzzy Harmony Search Technique for Cyber Risks in Industry 4.0 Wireless Communication Networks".PROCESSES 11.3(2023).
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