Journal of Computer Applications ›› 2025, Vol. 45 ›› Issue (3): 891-895.DOI: 10.11772/j.issn.1001-9081.2024030349

• Cyber security • Previous Articles     Next Articles

Data tamper-proof batch auditing scheme based on industrial cloud storage systems

Xiaojun ZHANG1,2,3(), Yunpu HAO1,2,3, Lei LI2,3, Chenyang LI1, Ziyu ZHOU1   

  1. 1.School of Computer Science and Software Engineering,Southwest Petroleum University,Chengdu Sichuan 610500,China
    2.Bureau of Geophysical Prospecting Inc. ,China National Petroleum Corporation,Zhuozhou Hebei 072751,China
    3.National Engineering Research Center of Oil and Gas Exploration Computer Software,Zhuozhou Hebei 072750,China
  • Received:2024-03-26 Revised:2024-07-19 Accepted:2024-07-24 Online:2024-10-14 Published:2025-03-10
  • Contact: Xiaojun ZHANG
  • About author:HAO Yunpu, born in 2000, M. S. candidate. His research interests include data aggregation, federated learning.
    LI Lei, born in 1979, Ph. D., senior engineer. His research interests include computer graphics, artificial intelligence, geophysics.
    LI Chenyang, born in 2002. His research interests include cryptography, information security.
    ZHOU Ziyu, born in 1997, M. S. candidate. Her research interests include cryptography, information security, data auditing.
  • Supported by:
    National Natural Science Foundation of China(61902327);Open Project of National Engineering Research Center of Oil and Gas Exploration Computer Software(DFWT-ZYRJ-2024-JS-81);Sichuan Provincial Natural Science Foundation(2025ZNSFSC0495)

基于工业云存储系统的数据防篡改批量审计方案

张晓均1,2,3(), 郝云溥1,2,3, 李磊2,3, 李晨阳1, 周子玉1   

  1. 1.西南石油大学 计算机与软件学院,成都 610500
    2.中国石油集团东方地球物理勘探有限责任公司,河北 涿州 072751
    3.油气勘探计算机软件国家工程研究中心,河北 涿州 072750
  • 通讯作者: 张晓均
  • 作者简介:郝云溥(2000—),男,河北邯郸人,硕士研究生,主要研究方向:数据聚合、联邦学习
    李磊(1979—),男,河北唐山人,高级工程师,博士,CCF会员,主要研究方向:计算机图形学、人工智能、地球物理
    李晨阳(2002—),男,河北保定人,主要研究方向:密码学、信息安全
    周子玉(1997—),女,四川乐山人,硕士研究生,主要研究方向:密码学、信息安全、数据审计。
  • 基金资助:
    国家自然科学基金资助项目(61902327);油气勘探开发软件国家工程研究中心开放课题(DFWT-ZYRJ-2024-JS-81);四川省自然科学基金资助项目(2025ZNSFSC0495)

Abstract:

To address the issue of network active attacks such as tampering for industrial cloud storage system data, to achieve the goal of secure sharing of industrial data in cloud storage, and to ensure the confidentiality, integrity, and availability of industrial data transmission and storage processes, a data tamper-proof batch auditing scheme based on industrial cloud storage systems was proposed. In this scheme, a homomorphic digital signature algorithm based on bilinear pairing mapping was proposed, enabling a third-party auditor to achieve batch tamper-proof integrity detection of industrial cloud storage system data, and feedback the tamper-proof integrity auditing results to engineering service end users timely. Besides, the computational burden on engineering service end users was reduced by adding auditors, while ensuring the integrity of industrial encrypted data during transmission and storage processes. Security analysis and performance comparison results demonstrate that the proposed scheme reduces the third-party auditing computational cost significantly by reducing the third-party auditor’s computational cost from On) bilinear pairing operations to O(1) constant-level bilinear pairing operations through the design of tamper-proof detection vectors. It can be seen that the proposed scheme is suitable for lightweight batch auditing scenarios that require tamper-proof detection of a large number of core data files of industrial cloud storage systems.

Key words: industrial cloud storage, tamper-proof, homomorphic digital signature, data integrity, batch auditing

摘要:

为解决工业云存储系统数据遭受篡改等网络主动攻击问题,实现工业数据云端安全共享的目标,并确保工业数据传输与存储过程的机密性、完整性与可用性,提出基于工业云存储系统的数据防篡改批量审计方案。在该方案中,设计基于双线性对映射的同态数字签名算法,使第三方审计者实现对工业云存储系统数据的批量防篡改完整性检测,并及时将防篡改完整性审计结果反馈给工程服务终端用户;此外,通过加入审计者减轻工程服务终端用户的计算负担,同时确保工业加密数据在传输与存储过程中的完整性。安全性分析与性能比较结果表明,所提方案通过设计防篡改检测向量,使得第三方审计者的计算量从On)次双线性对操作减少到O(1)次常量级双线性对操作,极大地降低了第三方审计者的计算开销。可见,所提方案适用于需要对大量工业云存储系统核心数据文件进行防篡改检测的轻量级批量审计场景。

关键词: 工业云存储, 防篡改, 同态数字签名, 数据完整性, 批量审计

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