A Review on Security Trends and Solutions Against Cyber Threats in Industry 4.0

Priyanka Verma, Nitesh Bharot
{"title":"A Review on Security Trends and Solutions Against Cyber Threats in Industry 4.0","authors":"Priyanka Verma, Nitesh Bharot","doi":"10.1109/ICSCCC58608.2023.10176999","DOIUrl":null,"url":null,"abstract":"The Industrial Internet of Things (IIoT) has transformed traditional manufacturing and production systems by incorporating automation and IoT. This technology has increased the efficiency and timeliness of the overall manufacturing system and improved communication between products and each unit. However, it has also introduced new security challenges. The use of IoT devices in Industry 4.0 opens the gate for various cyber attacks, where attackers utilize the vulnerability of these devices to launch attacks and target smart manufacturing environments. Therefore, it is essential to develop new solutions for handling cyber attacks in Industry 4.0. Thus in this paper, we explore potential cyber threats and their effects on Industry 4.0. We discuss the available solutions for tackling cyber attacks in the IIoT domain and present identified research gaps in the state- of-the-art solutions. The paper aims to present potential impacts and directions for solutions to researchers willing to contribute to the field of attack detection in Industry 4.0.","PeriodicalId":359466,"journal":{"name":"2023 Third International Conference on Secure Cyber Computing and Communication (ICSCCC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Third International Conference on Secure Cyber Computing and Communication (ICSCCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCCC58608.2023.10176999","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The Industrial Internet of Things (IIoT) has transformed traditional manufacturing and production systems by incorporating automation and IoT. This technology has increased the efficiency and timeliness of the overall manufacturing system and improved communication between products and each unit. However, it has also introduced new security challenges. The use of IoT devices in Industry 4.0 opens the gate for various cyber attacks, where attackers utilize the vulnerability of these devices to launch attacks and target smart manufacturing environments. Therefore, it is essential to develop new solutions for handling cyber attacks in Industry 4.0. Thus in this paper, we explore potential cyber threats and their effects on Industry 4.0. We discuss the available solutions for tackling cyber attacks in the IIoT domain and present identified research gaps in the state- of-the-art solutions. The paper aims to present potential impacts and directions for solutions to researchers willing to contribute to the field of attack detection in Industry 4.0.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
工业4.0时代的安全趋势及网络威胁解决方案综述
工业物联网(IIoT)通过将自动化和物联网相结合,改变了传统的制造和生产系统。这项技术提高了整个制造系统的效率和及时性,并改善了产品与每个单元之间的沟通。然而,它也带来了新的安全挑战。工业4.0中物联网设备的使用为各种网络攻击打开了大门,攻击者利用这些设备的漏洞发动攻击并瞄准智能制造环境。因此,开发应对工业4.0网络攻击的新解决方案至关重要。因此,在本文中,我们探讨潜在的网络威胁及其对工业4.0的影响。我们讨论了应对工业物联网领域网络攻击的可用解决方案,并提出了最先进解决方案中已确定的研究差距。本文旨在为愿意为工业4.0攻击检测领域做出贡献的研究人员提供潜在的影响和解决方案方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Ensuring Trust and Security in IoT Systems through Blockchain Integration Machine Learning Based Framework for Cryptocurrency Price Prediction Voice Comparison Approaches for Forensic Application: A Review A Review on Security Trends and Solutions Against Cyber Threats in Industry 4.0 An Analysis Of Anomaly Detection Techniques for IoT Devices: A Review
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1