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Sec-Reduce: Secure Reduction of Redundant and Similar Data for Cloud Storage based on Zero-Knowledge Proof

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成果类型:
会议论文
作者:
Zhihuan Yang;Wenlong Tian;Emma Zhang;Zhiyong Xu
作者机构:
[Zhihuan Yang] School of Computer Science and Technology, University of South China, China
[Emma Zhang] Needham High School, USA
[Zhiyong Xu] Math and Computer Science Department, Suffolk University, USA
School of Physical and Mathematical Sciences, Nanyang Technology University, Singapore
[Wenlong Tian] School of Computer Science and Technology, University of South China, China<&wdkj&>School of Physical and Mathematical Sciences, Nanyang Technology University, Singapore
语种:
英文
关键词:
Cloud Storage;Encrypted Data Reduction;Zero-Knowledge Proof
年:
2024
页码:
1149-1154
会议名称:
2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
会议论文集名称:
2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
会议时间:
17 December 2024
会议地点:
Sanya, China
出版者:
IEEE
ISBN:
979-8-3315-0621-6
基金类别:
10.13039/501100001809-National Natural Science Foundation of China 10.13039/501100004735-Natural Science Foundation of Hunan Province
机构署名:
本校为第一机构
院系归属:
计算机科学与技术学院
摘要:
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...

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