会议论文

Tian, WL

英文

2024 IEEE 23RD INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS, TRUSTCOM

2324-898X

2024

1149-1154

2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

17 December 2024

Sanya, China

[Yang, Zhihuan;Tian, Wenlong] Univ South China, Sch Comp Sci & Technol, Hengyang, Peoples R China.^[Tian, Wenlong] Nanyang Technol Univ, Sch Phys & Math Sci, Singapore, Singapore.^[Zhang, Emma] Needham High Sch, Needham, MA USA.^[Xu, Zhiyong] Suffolk Univ, Math & Comp Sci Dept, Boston, MA USA.

10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA

IEEE

979-8-3315-0621-6

10.1109/TrustCom63139.2024.00163

National Natural Science Foundation of China [62402208]; Hunan Province research foundation [22B0437]; Hunan Province Educational Science Planning Project [JD231459]; State Scholarship Fund of China [202108430055]; Natural Science Foundation of Hunan Province of China [2022JJ30495, 2022JJ50153]

本校为第一且通讯机构

With the widespread adoption of cloud storage, effectively identifying and eliminating redundant data among users while ensuring data security has become a significant challenge. However, traditional similarity detection methods has limitations in privacy protection. Although conventional encryption techniques can safeguard privacy, they have difficulty detecting redundancy between similar blocks. Thus, we propose a secure reduction of redundant and similar data for cloud storage to address these challenges based on zero-knowledge proof (Sec-Reduce), called Sec-Reduce. It first employs a novel...