An Effectively Applicable to Resource Constrained Devices and Semi-trusted Servers Authenticated Key Agreement Scheme

计算机科学 服务器 钥匙(锁) 方案(数学) 计算机安全 公钥密码术 计算机网络 认证(法律) 密码学 资源(消歧) 加密 数学分析 数学
作者
Dong Xie,Jinghua Yang,Bin Wu,Weiwei Bian,Fulong Chen,Taochun Wang
出处
期刊:IEEE Transactions on Information Forensics and Security [Institute of Electrical and Electronics Engineers]
卷期号:: 1-1
标识
DOI:10.1109/tifs.2024.3362589
摘要

In a mobile edge computing environment, the computing tasks of resource-constrained IoT devices are often offloaded to mobile edge computing servers for processing. In order to ensure the security of the task offloading process, both parties need to perform mutual authentication and negotiate a session key first. The security defenses in the existing authentication schemes are often only aimed at external attackers, while ignoring the possible malicious behaviors of semi-trusted servers. Furthermore, they cannot effectively take into account the device-side lightweight and security, as well as the load problem of a single registry. In this paper, we propose a new anonymous authentication key agreement scheme that fully considers the resource constraints of terminal devices and the security risks of semi-trusted servers. In the scheme, we use the method of generating pairing information during registration to avoid the server-side directly contacting the user’s private information, and support trusted third parties not to participate in the authentication process. In addition, by setting up authentication servers to outsource computing tasks, the device-side can avoid blindly selecting a computing server for task offloading, achieve accurate task assignment and efficient execution of authentication. We use Real-Or-Random model and BAN logic to demonstrate the security of the proposed scheme, and use the ProVerif tool to verify its authenticated reachability and confidentiality. Compared with other schemes with the same structure, this scheme is superior to similar schemes, and has higher security on the basis of ensuring the least amount of computation on the device-side.
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