Cybersecurity Solutions and Techniques for Internet of Things Integration in Combat Systems

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Amirmohammad Pasdar;Nickolaos Koroniotis;Marwa Keshk;Nour Moustafa;Zahir Tari
{"title":"Cybersecurity Solutions and Techniques for Internet of Things Integration in Combat Systems","authors":"Amirmohammad Pasdar;Nickolaos Koroniotis;Marwa Keshk;Nour Moustafa;Zahir Tari","doi":"10.1109/TSUSC.2024.3443256","DOIUrl":null,"url":null,"abstract":"The Internet of Things (IoT) has enabled pervasive networking and multi-modal sensing, offering various services such as remote operations and augmenting existing processes. The military setting has increasingly and notably adopted IoT technologies, such as sensor-rich drones or autonomous vehicles, which provide military personnel with enhanced situational awareness, faster decision-making capabilities, and improved operational precision. However, integrating IoT into military systems introduces new security challenges due to increased connectivity and susceptibility to vulnerabilities. Cyberattacks on military IoT systems can have severe consequences, including operational disruptions and compromises of sensitive information. This article proposes a new perspective on examining threat models in IoT-enhanced combat systems, emphasising approaches for identifying threats, conducting vulnerability assessments, and suggesting countermeasures. It delves into the characteristics and structures of IoT-enhanced combat systems, exploring technical implementations and technologies. Additionally, it outlines five significant areas of focus, including blockchain, machine learning, game theory, protocols, and algorithms, to enhance understanding of IoT-enhanced combat systems. The insights gained from this analysis can inform the development of secure and resilient military IoT systems, ultimately enhancing the safety and effectiveness of military operations.","PeriodicalId":13268,"journal":{"name":"IEEE Transactions on Sustainable Computing","volume":"10 2","pages":"345-365"},"PeriodicalIF":3.0000,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Sustainable Computing","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10636816/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0

Abstract

The Internet of Things (IoT) has enabled pervasive networking and multi-modal sensing, offering various services such as remote operations and augmenting existing processes. The military setting has increasingly and notably adopted IoT technologies, such as sensor-rich drones or autonomous vehicles, which provide military personnel with enhanced situational awareness, faster decision-making capabilities, and improved operational precision. However, integrating IoT into military systems introduces new security challenges due to increased connectivity and susceptibility to vulnerabilities. Cyberattacks on military IoT systems can have severe consequences, including operational disruptions and compromises of sensitive information. This article proposes a new perspective on examining threat models in IoT-enhanced combat systems, emphasising approaches for identifying threats, conducting vulnerability assessments, and suggesting countermeasures. It delves into the characteristics and structures of IoT-enhanced combat systems, exploring technical implementations and technologies. Additionally, it outlines five significant areas of focus, including blockchain, machine learning, game theory, protocols, and algorithms, to enhance understanding of IoT-enhanced combat systems. The insights gained from this analysis can inform the development of secure and resilient military IoT systems, ultimately enhancing the safety and effectiveness of military operations.
作战系统中物联网集成的网络安全解决方案和技术
物联网(IoT)实现了无处不在的网络和多模态传感,提供了远程操作和增强现有流程等各种服务。军事环境越来越多地采用物联网技术,如传感器丰富的无人机或自动驾驶汽车,这些技术为军事人员提供了增强的态势感知、更快的决策能力和更高的作战精度。然而,将物联网集成到军事系统中,由于连接性和脆弱性的增加,会带来新的安全挑战。对军事物联网系统的网络攻击可能会造成严重后果,包括运营中断和敏感信息泄露。本文提出了在物联网增强的作战系统中检查威胁模型的新视角,强调了识别威胁、进行脆弱性评估和提出对策的方法。深入研究物联网增强作战系统的特点和结构,探索技术实现和技术。此外,它概述了五个重要的重点领域,包括区块链、机器学习、博弈论、协议和算法,以增强对物联网增强作战系统的理解。从这一分析中获得的见解可以为安全、有弹性的军事物联网系统的开发提供信息,最终提高军事行动的安全性和有效性。
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 求助全文
来源期刊
IEEE Transactions on Sustainable Computing
IEEE Transactions on Sustainable Computing Mathematics-Control and Optimization
CiteScore
7.70
自引率
2.60%
发文量
54
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信