151. Toward Serverless and Efficient Encrypted Deduplication in Mobile Cloud Computing Environments
- Author
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Joobeom Yun, Junbeom Hur, Youngjoo Shin, and Dongyoung Koo
- Subjects
Science (General) ,Article Subject ,Computer Networks and Communications ,Computer science ,business.industry ,Mobile broadband ,020206 networking & telecommunications ,02 engineering and technology ,Encryption ,Mobile cloud computing ,Q1-390 ,Data redundancy ,020204 information systems ,Server ,Scalability ,0202 electrical engineering, electronic engineering, information engineering ,Data_FILES ,Data deduplication ,T1-995 ,business ,Mobile device ,Technology (General) ,Information Systems ,Computer network - Abstract
With the proliferation of new mobile devices, mobile cloud computing technology has emerged to provide rich computing and storage functions for mobile users. The explosive growth of mobile data has led to an increased demand for solutions that conserve storage resources. Data deduplication is a promising technique that eliminates data redundancy for storage. For mobile cloud storage services, enabling the deduplication of encrypted data is of vital importance to reduce costs and preserve data confidentiality. However, recently proposed solutions for encrypted deduplication lack the desired level of security and efficiency. In this paper, we propose a novel scheme for serverless efficient encrypted deduplication (SEED) in mobile cloud computing environments. Without the aid of additional servers, SEED ensures confidentiality, data integrity, and collusion resistance for outsourced data. The absence of dedicated servers increases the effectiveness of SEED for mobile cloud storage services, in which user mobility is essential. In addition, noninteractive file encryption with the support of lazy encryption greatly reduces latency in the file-upload process. The proposed indexing structure (D-tree) supports the deduplication algorithm and thus makes SEED much more efficient and scalable. Security and performance analyses prove the efficiency and effectiveness of SEED for mobile cloud storage services.
- Published
- 2020