D
Dongsheng Wang
Researcher at National University of Defense Technology
Publications - 14
Citations - 169
Dongsheng Wang is an academic researcher from National University of Defense Technology. The author has contributed to research in topics: Cloud computing & Encryption. The author has an hindex of 7, co-authored 11 publications receiving 131 citations.
Papers
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Proceedings ArticleDOI
Generalized pattern matching string search on encrypted data in cloud systems
TL;DR: This paper proposes a scheme for Generalized Pattern-matching String-search on Encrypted data (GPSE) in cloud systems and implements two most commonly used pattern matching search functions on encrypted data, the substring matching and the longest-prefix-first matching.
Journal ArticleDOI
Efficient auditing for shared data in the cloud with secure user revocation and computations outsourcing
TL;DR: This paper proposes a novel public auditing scheme for the integrity of shared data with efficient collusion-resistant user revocation, and extends the proposed scheme to support securely signature and verification outsourcing, which allow more efficiency for group users and the auditor.
Proceedings ArticleDOI
Efficient, secure and non-iterative outsourcing of large-scale systems of linear equations
TL;DR: A new efficient and non-iterative algorithm for securely outsourcing LSLE that only requires two rounds of communication between the client and cloud and the number and positions of zero elements in coefficient matrix can be hidden from the cloud with low computational complexity.
Proceedings ArticleDOI
Efficient Integrity Auditing for Shared Data in the Cloud with Secure User Revocation
TL;DR: This paper proposes a novel public auditing scheme for the integrity of shared data with efficient and collusion-resistant user revocation utilizing the concept of Shamir secret sharing and demonstrates that the proposed scheme is provably secure and highly efficient.
Proceedings ArticleDOI
Enabling Assured Deletion in the Cloud Storage by Overwriting
TL;DR: This work proposes a novel method to surely delete data in the cloud storage by overwriting, which is efficient in the user-side and is able to wipe out the deleted data from the drives of the cloud servers.