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Zoe Lin Jiang

Researcher at Harbin Institute of Technology

Publications -  120
Citations -  1713

Zoe Lin Jiang is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Encryption & Cloud computing. The author has an hindex of 15, co-authored 103 publications receiving 1305 citations. Previous affiliations of Zoe Lin Jiang include Harbin Institute of Technology Shenzhen Graduate School & University of Hong Kong.

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Proceedings ArticleDOI

Dynamic Data Operations with Deduplication in Privacy-Preserving Public Auditing for Secure Cloud Storage

TL;DR: In this article, the authors proposed a mechanism that combines data deduplication with dynamic data operations in the privacy preserving public auditing for secure cloud storage, which is highly efficient and provably secure.
Journal ArticleDOI

An Efficient Flicker-Free FEC Coding Scheme for Dimmable Visible Light Communication Based on Polar Codes

TL;DR: Based on polar codes’ recursive encoding structure, an efficient and flicker-free FEC coding scheme for dimmable VLC is proposed to increase the transmission efficiency and simplify the coding structure.
Journal ArticleDOI

High-Speed Indoor Navigation System based on Visible Light and Mobile Phone

TL;DR: This paper proposes a novel VLP solution that provides accurate and high-speed indoor navigation via the designs of an elaborate flicker-free line coding scheme and a lightweight image processing algorithm that has the advantage of supporting flicker mitigation and dimming, which are important for illumination.
Journal ArticleDOI

A New Payment System for Enhancing Location Privacy of Electric Vehicles

TL;DR: A new payment system that is suitable for EVs, which not only supports privacy protection (location privacy) but supports traceability in the case where the cars are stolen as well and can further support the future vehicle-to-grid (V2G) paradigm.
Journal ArticleDOI

Practical attribute-based encryption

TL;DR: A practical ABE scheme is proposed which can solve aforementioned issues simultaneously and achieves large universe and multiple attribute authorities, followed by extensive experiments to demonstrate its effectiveness and practicability.