RAAF-MEC: Reliable and anonymous authentication framework for IoT-enabled mobile edge computing environment

IF 7.6 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Internet of Things Pub Date : 2025-01-01 DOI:10.1016/j.iot.2024.101459
Omar Alruwaili , Muhammad Tanveer , Saud Alhajaj Aldossari , Saad Alanazi , Ammar Armghan
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Abstract

The Internet of Things (IoT) devices are becoming increasingly integral to daily life, with cloud computing platforms serving as essential hubs for managing and processing the vast data generated by distributed IoT devices and sensors. The advent of 6G-powered cloud services facilitates applications such as augmented reality, virtual reality, autonomous driving, and healthcare, all of which require rapid data processing. Mobile edge computing (MEC) extends cloud capabilities to the network’s edge, enabling large-scale, real-time data processing. However, this transition introduces security challenges due to the open nature of MEC infrastructures, which increases the risk of data breaches and privacy violations. To address these challenges, RAAF-MEC is proposed as an innovative authentication framework designed specifically for IoT-enabled MEC environments. The framework incorporates hash functions, PUF, ECC, and GIFT-COFB. GIFT-COFB, a lightweight encryption mechanism, and NIST finalist, ensures data authenticity and integrity. PUF technology, integrated on the MEC server side, dynamically derives secret keys, mitigating the risk of privileged insider attacks by eliminating the need to store keys in the MEC server’s database. This approach enhances security by preventing unauthorized access to sensitive key material. RAAF-MEC also supports single sign-on for seamless access across MEC servers. The effectiveness of RAAF-MEC has been validated through comprehensive formal and informal security assessments, as well as performance evaluations against existing authentication frameworks. Our results show that RAAF-MEC reduces computational costs by 27.3% to 52.12% and communication costs by 69.44% to 75%, while significantly enhancing security features.
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RAAF-MEC:面向物联网移动边缘计算环境的可靠匿名身份验证框架
物联网(IoT)设备正日益成为日常生活中不可或缺的一部分,云计算平台是管理和处理分布式物联网设备和传感器产生的大量数据的重要枢纽。基于6g的云服务的出现促进了增强现实、虚拟现实、自动驾驶和医疗保健等应用的发展,所有这些应用都需要快速的数据处理。移动边缘计算(MEC)将云功能扩展到网络边缘,实现大规模实时数据处理。然而,由于MEC基础设施的开放性,这种转变带来了安全挑战,这增加了数据泄露和侵犯隐私的风险。为了应对这些挑战,RAAF-MEC被提出作为一种创新的认证框架,专门为支持物联网的MEC环境设计。该框架包含散列函数、PUF、ECC和GIFT-COFB。GIFT-COFB是一种轻量级加密机制,也是NIST的最终入围方案,可确保数据的真实性和完整性。PUF技术集成在MEC服务器端,动态派生密钥,消除了在MEC服务器数据库中存储密钥的需要,从而降低了特权内部攻击的风险。这种方法通过防止对敏感密钥材料的未经授权的访问来增强安全性。RAAF-MEC还支持单点登录,实现跨MEC服务器的无缝访问。RAAF-MEC的有效性已通过全面的正式和非正式安全评估以及针对现有认证框架的性能评估得到验证。我们的研究结果表明,RAAF-MEC降低了27.3%至52.12%的计算成本和69.44%至75%的通信成本,同时显著增强了安全特性。
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来源期刊
Internet of Things
Internet of Things Multiple-
CiteScore
3.60
自引率
5.10%
发文量
115
审稿时长
37 days
期刊介绍: Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT. The journal will place a high priority on timely publication, and provide a home for high quality. Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.
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