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

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.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2024-10-28
DOI
https://doi.org/10.1109/jiot.2024.3479219
Citations
5
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
1.25

Funders

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article

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

Hongwei Lin, Youliang Tian, Xinyu Zhang, Mengqian Li et al.
5 citations
IEEE Internet of Things Journal
Chaos-based Image/Signal Encryption
1.25
article

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

Hongwei Lin, Youliang Tian, Xinyu Zhang, Mengqian Li, Xinhua Cui
article en
5 citations

Abstract

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.

IEEE Internet of Things JournalVol. 12(3)
Guizhou Normal University (CN), Guizhou University (CN)
National Natural Science Foundation of China, Science and Technology Program of Guizhou Province
Openalex Percentile: Top 19%
Chaos-based Image/Signal Encryption
1.25
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A Lightweight Certificateless Edge-Assisted Encryption for IoT Devices: Enhancing Security and Performance — Hongwei Lin, Youliang Tian, et al. · IEEE Internet of Things Journal (2024) | TGRS Research Map | TGRS