Lightweight and Robust Key Agreement for Securing IIoT-Driven Flexible Manufacturing Systems

计算机科学 钥匙(锁) 稳健性(进化) 分布式计算 计算机安全 生物化学 基因 化学
作者
Muhammad Hammad,Akhtar Badshah,Mohammed A. Almeer,Muhammad Waqas,Houbing Song,Sheng Chen,Zhu Han
出处
期刊:IEEE Internet of Things Journal [Institute of Electrical and Electronics Engineers]
卷期号:12 (11): 17197-17209 被引量:15
标识
DOI:10.1109/jiot.2025.3535846
摘要

The ever-evolving Internet of Things (IoT) has ushered in a new era of intelligent manufacturing across multiple industries. However, the security and privacy of real-time data transmitted over the public channel of the Industrial IoT (IIoT) remain formidable challenges. Existing lightweight protocols often omit one or more critical security features, such as anonymity and untraceability, and are susceptible to threats like desynchronization attacks. Additionally, they struggle to achieve an optimal balance between robust security and performance efficiency. To bridge these gaps, we introduce a new lightweight key agreement security scheme that guarantees secure access to the IIoT-enabled flexible manufacturing system (FMS). The strength of our scheme lies in its utilization of the authenticated encryption with associative data (AEAD) primitive, AEGIS, along with hash functions and physical unclonable functions, which secure the IIoT ecosystem. Additionally, our scheme offers flexibility in the form of the addition of new machines, password updates, and revocation in cases of theft or loss. A comprehensive security analysis demonstrates the efficacy of the proposed scheme in thwarting various attacks. The formal analysis, based on the Real-or-Random (RoR) model, ensures session key indistinguishability, while the informal analysis highlights its resilience against known attacks. The comparative assessment demonstrates that the proposed scheme consistently outperforms the benchmark schemes across multiple dimensions, including security and functionality features, computational and communication overheads, and runtime efficiency. Specifically, the proposed scheme achieves peak performance enhancements of 77.55%, 44.73%, and 69.6% in computational overhead, runtime overhead, and communication overhead, respectively, underscoring its substantial performance advantages.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
曾小荣完成签到,获得积分10
刚刚
完美世界应助xuan采纳,获得10
刚刚
刚刚
wym123456完成签到,获得积分20
1秒前
1秒前
活力的初晴完成签到,获得积分20
1秒前
nan发布了新的文献求助10
1秒前
1秒前
youyou2679发布了新的文献求助30
2秒前
星辰大海应助jgg采纳,获得10
2秒前
传统的舞蹈关注了科研通微信公众号
2秒前
爆米花应助精明的文涛采纳,获得10
3秒前
所所应助好吗好的采纳,获得10
4秒前
小饭完成签到,获得积分10
4秒前
GuMingyang完成签到,获得积分10
5秒前
科研白痴发布了新的文献求助10
5秒前
Trouvaille发布了新的文献求助10
5秒前
5秒前
6秒前
7秒前
华仔应助Jin采纳,获得10
8秒前
流星雨醒了完成签到 ,获得积分10
8秒前
科研通AI2S应助科研通管家采纳,获得10
8秒前
在水一方应助科研通管家采纳,获得10
8秒前
香蕉觅云应助科研通管家采纳,获得10
8秒前
8秒前
科研狗应助科研通管家采纳,获得30
8秒前
lixinglei应助科研通管家采纳,获得20
9秒前
Lucas应助活力的初晴采纳,获得10
9秒前
英俊的铭应助科研通管家采纳,获得10
9秒前
aubusson应助科研通管家采纳,获得10
9秒前
科目三应助科研通管家采纳,获得10
9秒前
FashionBoy应助科研通管家采纳,获得10
9秒前
asdfqwer应助科研通管家采纳,获得10
9秒前
完美世界应助科研通管家采纳,获得10
10秒前
李健应助科研通管家采纳,获得10
10秒前
小泓发布了新的文献求助10
10秒前
JamesPei应助科研通管家采纳,获得10
10秒前
wanci应助科研通管家采纳,获得10
10秒前
10秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7583093
求助须知:如何正确求助?哪些是违规求助? 9161776
关于积分的说明 19604859
捐赠科研通 7165133
什么是DOI,文献DOI怎么找? 3266207
关于科研通互助平台的介绍 2431164
邀请新用户注册赠送积分活动 2257518