Q
Qinlong Huang
Researcher at Beijing University of Posts and Telecommunications
Publications - 26
Citations - 482
Qinlong Huang is an academic researcher from Beijing University of Posts and Telecommunications. The author has contributed to research in topics: Encryption & Cloud computing. The author has an hindex of 11, co-authored 22 publications receiving 324 citations.
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Journal ArticleDOI
Secure Data Access Control With Ciphertext Update and Computation Outsourcing in Fog Computing for Internet of Things
TL;DR: The security analysis shows that the proposed scheme is secure against known attacks, and the experimental results show that the fog nodes perform most of the computation operations of encryption, dec encryption, and signing, and hence, the time of encryption for data owner, decryption, re-encryption, and sign for users is small and constant.
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Secure and efficient data collaboration with hierarchical attribute-based encryption in cloud computing
TL;DR: A secure and efficient data collaboration scheme, in which fine-grained access control of ciphertext and secure data writing operation can be afforded based on attribute-based encryption (ABE) and attribute- based signature (ABS respectively, is proposed.
Journal ArticleDOI
DECENT: Secure and fine-grained data access control with policy updating for constrained IoT devices
TL;DR: This paper presents a secure and fine-grained data access control scheme for constrained IoT devices and cloud computing based on hierarchical attribute-based encryption, which reduces the key management by introducing hierarchical attribute authorities.
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Secure Identity-Based Data Sharing and Profile Matching for Mobile Healthcare Social Networks in Cloud Computing
TL;DR: A secure data sharing and profile matching scheme for the MHSN in cloud computing based on identity-based encryption with an equality test, which helps patients to find friends in a privacy-preserving way and achieves flexible authorization on the encrypted health records with resisting the keywords guessing attack.
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Secure and Privacy-Preserving Data Sharing and Collaboration in Mobile Healthcare Social Networks of Smart Cities
TL;DR: This paper proposes a secure and fine-grained health data and social data sharing and collaboration scheme in MHSN with attribute-based encryption and identity-based broadcast encryption techniques, respectively, which allows patients to share their private personal data securely.