1. Achieving Secure and Efficient Dynamic Searchable Symmetric Encryption over Medical Cloud Data
- Author
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Hongwei Li, Yuanshun Dai, Yong Xiang, Yi Yang, and Shui Yu
- Subjects
020203 distributed computing ,0805 Distributed Computing, 0806 Information Systems ,Computer Networks and Communications ,business.industry ,Computer science ,Client-side encryption ,020206 networking & telecommunications ,02 engineering and technology ,Encryption ,Computer security ,computer.software_genre ,Computer Science Applications ,Filesystem-level encryption ,Symmetric-key algorithm ,Hardware and Architecture ,0202 electrical engineering, electronic engineering, information engineering ,40-bit encryption ,56-bit encryption ,Key (cryptography) ,On-the-fly encryption ,business ,computer ,Software ,Information Systems ,Computer network - Abstract
© 2013 IEEE. In medical cloud computing, a patient can remotely outsource her medical data to the cloud server. In this case, only authorized doctors are allowed to access the data since the medical data is highly sensitive. Before outsourcing, the data is commonly encrypted, where the corresponding secret key is sent to authorized doctors. However, performing searches on encrypted medical data is difficult without decryption. In this paper, we propose two Secure and Efficient Dynamic Searchable Symmetric Encryption (SEDSSE) schemes over medical cloud data. First, we utilize the secure k-Nearest Neighbor (kNN) and Attribute-Based Encryption (ABE) techniques to construct a dynamic searchable symmetric encryption scheme, which can achieve forward privacy and backward privacy simultaneously. These tow security properties are vital and very challenging in the area of dynamic searchable symmetric encryption. Then, we propose an enhanced scheme to solve the key sharing problem which widely exists in the kNN based searchable encryption scheme. Compared with existing proposals, our schemes are better in terms of storage, search and updating complexity. Extensive experiments demonstrate the efficiency of our schemes on storage overhead, index building, trapdoor generating and query.
- Published
- 2020