信息网络安全 ›› 2026, Vol. 26 ›› Issue (5): 736-746.doi: 10.3969/j.issn.1671-1122.2026.05.006

• 学术研究 • 上一篇    下一篇

面向边缘智能控制器的多授权策略隐藏属性基加密方案

尚文利1,2, 李集浩1,2, 丁磊2,3(), 陈晓斌1,2   

  1. 1 广州大学电子与通信工程学院, 广州 510006
    2 片上通信与传感器芯片广东省普通高校重点实验室, 广州 510006
    3 广州大学网络空间安全学院, 广州 510006
  • 收稿日期:2025-10-29 出版日期:2026-05-10 发布日期:2026-06-03
  • 通讯作者: 丁磊 dloftjcu@163.com
  • 作者简介:尚文利(1974—),男,黑龙江,教授,博士,主要研究方向为计算智能、机器学习、工业物联网安全|李集浩(1997—),男,广东,硕士研究生,主要研究方向为工业物联网安全、属性基加密|丁磊(1995—),男,天津,博士研究生,主要研究方向为网络安全、数据安全|陈晓斌(2000—),男,广东,硕士研究生,主要研究方向为边缘计算、隐私保护
  • 基金资助:
    国家自然科学基金(62173101);广东省教育厅普通高校重点项目(2025ZDZX3018)

Multi-Authority Policy-Hidden Attribute-Based Encryption Scheme for Edge Intelligent Controllers

SHANG Wenli1,2, LI Jihao1,2, DING Lei2,3(), CHEN Xiaobin1,2   

  1. 1 School of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China
    2 Key Laboratory of On-Chip Communication and Sensor Chip of Guangdong Higher Education Institutes, Guangzhou 510006, China
    3 Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou 510006, China
  • Received:2025-10-29 Online:2026-05-10 Published:2026-06-03

摘要:

针对边缘计算在工业物联网场景下的边缘智能控制器数据访问控制问题,文章提出一种面向边缘智能控制器的多授权策略隐藏属性基加密方案。该方案通过中央授权机构、密钥生成中心和边缘智能控制器协同实现多授权机构密钥生成,并采用单向匿名密钥协商协议实现访问策略全隐藏。为提高加密效率,该方案融入离线/在线计算技术,采用外包解密策略将大部分密文计算任务转移至边缘服务器,有效降低用户计算开销。此外,该方案还具备用户追踪功能,根据解密密钥追踪并撤销恶意用户权限。实验结果表明,该方案在用户密钥生成和文件加解密方面有一定优势,在q-DBDHE假设下验证了安全性。

关键词: 边缘智能控制器, 属性基加密, 多授权机构, 策略隐藏

Abstract:

For the data access control problem of edge intelligent controllers in industrial Internet of things scenarios under edge computing, this paper proposed a multi-authority policy-hidden attribute-based encryption scheme for edge intelligent controllers. This scheme achieved multi-authority key generation through the collaboration of a central authorization authority, a key generation center, and the edge intelligent controllers. It also employed a one-way anonymous key agreement protocol to achieve full policy hiding. To improve encryption efficiency, the scheme integrated online/offline techniques and employed outsourced decryption technology, delegating most of the ciphertext computation tasks to edge servers, thereby reducing the computational overhead for users. In addition, the scheme also featured user tracking functionality, allowing the tracking and revocation of malicious user based on the decryption key. Analysis results show that the proposed scheme exhibits high performance in user key generation and file encryption/decryption, and its security is validated under the q-DBDHE assumption.

Key words: edge intelligent controllers, attribute-based encryption, multi-authority, policy-hidden

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