SEED: Enabling Serverless and Efficient Encrypted Deduplication for Cloud Storage
Youngjoo Shin, Dongyoung Koo, Joobeom Yun, Junbeom Hur · 2016
Data deduplication is a technique that removes redundancy of data on the storage. For cloud storage services, enabling deduplication over encrypted data is of vital importance to achieve both cost savings and keeping data confidentiality simultaneously. Recently proposed solutions are not sufficient because of lacking desired level of security and efficiency. In this paper, we propose SEED, a novel scheme for serverless and efficient encrypted deduplication. Without aid of any additional servers, SEED provides strong confidentiality to the outsourced data. In addition, its non-interactive file encryption with support of lazy encryption greatly reduces latency in file uploading process. Security analysis and performance evaluations show the superior efficiency and effectiveness of SEED for cloud storage services.