云环境中的数据安全去重研究综述OA

With the explosive growth of global cloud data volume,the problem of data redundancy has become increas-ingly prominent,and data deduplication technology has attracted considerable attention in the fields of storage efficiency optimization and data security.Therefore,this paper summarizes two typical architectures in data deduplication technology,namely centralized architecture and distributed architecture.It formally defines three core challenges and three types of typical attack methods in data deduplication systems.From five dimensions—data granularity,proof of ownership(PoW),privacy protection,data popularity,and data routing—this study analyzes the technical principles of existing schemes,and compares the advantages,disadvantages,and applicable scenarios of various methods.Finally,it clarifies the future research directions,such as the adaptive adaptation capability of data deduplication,scenario expansion and security enhance-ment,and the integration with blockchain technology.This work provides technical support for privacy-compliant gover-nance and efficient resource allocation in the future data element market.