Lightweight Traceable Data Circulation Encryption Scheme for Edge Computing

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Miao Li, Changgen Peng, Hai Liu, Hanlin Tang, Jin Niu, Chuanda Cai, Tao Zhang
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Abstract

With the increasing demand for secure and efficient data circulation in edge computing environments, ensuring data privacy, integrity, and traceability has become a critical challenge. In such decentralized and untrusted settings, traditional encryption schemes often suffer from key management complexity, single points of failure, and high computational costs. To address these issues, this paper proposes a lightweight and traceable data circulation encryption (LTP-CLE) scheme tailored for edge computing scenarios. The scheme leverages certificateless encryption to eliminate the dependency on a trusted key generation center (KGC), and integrates a proxy re-encryption mechanism and a digital signature scheme using a unified key structure. This unified design not only enhances security and traceability but also reduces key management overhead. Furthermore, the scheme minimizes the use of expensive cryptographic operations, such as bilinear pairings and scalar multiplications, thereby improving computational efficiency. Security analysis in the random oracle model demonstrates the scheme's resistance to collision attacks, ciphertext indistinguishability, and signature forgery. Experimental evaluations show that the LTP-CLE scheme outperforms existing methods in both computational and communication efficiency, making it well-suited for practical deployment in data-centric edge computing applications such as IoT-based healthcare monitoring, industrial control, and smart city infrastructure.

Abstract Image

用于边缘计算的轻量级可跟踪数据循环加密方案
随着边缘计算环境中对安全高效的数据循环的需求日益增加,确保数据的隐私性、完整性和可追溯性已成为一项关键挑战。在这种去中心化和不可信的设置中,传统的加密方案经常遭受密钥管理复杂性、单点故障和高计算成本的困扰。为了解决这些问题,本文提出了一种针对边缘计算场景量身定制的轻量级和可跟踪的数据循环加密(LTP-CLE)方案。该方案利用无证书加密消除了对可信密钥生成中心(KGC)的依赖,并使用统一的密钥结构集成了代理重加密机制和数字签名方案。这种统一的设计不仅增强了安全性和可追溯性,还减少了密钥管理开销。此外,该方案最大限度地减少了昂贵的加密操作的使用,例如双线性对和标量乘法,从而提高了计算效率。随机oracle模型的安全性分析证明了该方案具有抗碰撞攻击、密文不可分辨性和签名伪造的能力。实验评估表明,LTP-CLE方案在计算和通信效率方面都优于现有方法,非常适合在以数据为中心的边缘计算应用(如基于物联网的医疗监控、工业控制和智慧城市基础设施)中进行实际部署。
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来源期刊
Concurrency and Computation-Practice & Experience
Concurrency and Computation-Practice & Experience 工程技术-计算机:理论方法
CiteScore
5.00
自引率
10.00%
发文量
664
审稿时长
9.6 months
期刊介绍: Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.
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