A Lightweight Certificateless Edge-Assisted Encryption for IoT Devices: Enhancing Security and Performance

被引:0
|
作者
Cui, Xinhua [1 ,2 ]
Tian, Youliang [1 ]
Zhang, Xinyu [1 ]
Lin, Hongwei [2 ]
Li, Mengqian [1 ]
机构
[1] Guizhou Univ, Coll Comp Sci & Technol, State Key Lab Publ Big Data, Guiyang 550025, Peoples R China
[2] Guizhou Normal Univ, Sch Econ & Management, Guiyang 550025, Peoples R China
来源
IEEE INTERNET OF THINGS JOURNAL | 2025年 / 12卷 / 03期
基金
中国国家自然科学基金;
关键词
Encryption; Internet of Things; Data processing; Performance evaluation; Cryptography; Computational modeling; Edge computing; Servers; Scalability; Real-time systems; Certificateless cryptography; edge assisted; IoT devices; Internet of Things (IoT); lightweight; resource constrained; standard model (SM); SCHEME;
D O I
10.1109/JIOT.2024.3479219
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In edge computing environments, the rapid growth of Internet of Things (IoT) devices presents significant challenges for data processing. These devices are often resource-constrained, leading to a tradeoff between achieving efficiency and ensuring security. On one hand, traditional certificateless encryption methods are computationally expensive; on the other hand, offloading the computational load to third-party entities can enhance efficiency but still introduces security risks. To address these issues, this article proposes a novel lightweight certificateless edge-assisted encryption scheme (CL-EAED). Ours scheme offloads computationally intensive tasks to edge servers, ensuring that edge-assisted processing does not expose sensitive information and only needs to be performed once. This approach effectively prevents data leakage and enhances both the efficiency and security of task offloading. Moreover, the CL-EAED scheme achieves IND-CCA security in standard model (SM) and has been validated using the ProVerif tool. Experimental evaluations demonstrate that CL-EAED eliminates the dependency on computationally intensive pairing operations, significantly reducing computational and communication costs. It outperforms existing solutions in terms of energy consumption, latency, and scalability, fully meeting the requirements of practical applications.
引用
收藏
页码:2930 / 2942
页数:13
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