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Cheng Guo

Researcher at Dalian University of Technology

Publications -  95
Citations -  1362

Cheng Guo is an academic researcher from Dalian University of Technology. The author has contributed to research in topics: Encryption & Secret sharing. The author has an hindex of 15, co-authored 95 publications receiving 932 citations. Previous affiliations of Cheng Guo include Guilin University of Electronic Technology & National Tsing Hua University.

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Chaotic maps-based password-authenticated key agreement using smart cards

TL;DR: This protocol, inspired by the semi-group property of Chebyshev maps and key agreement protocols based on chaotic maps, has comprehensive characteristics and can withstand attacks, including the insider attack, replay attack, and others, satisfying essential security requirements.
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Fine-grained Database Field Search Using Attribute-Based Encryption for E-Healthcare Clouds

TL;DR: A novel framework for controlling access to EHRs stored in semi-trusted cloud servers (e.g. a private cloud or a community cloud) is proposed and the ciphertext-policy attribute-based encryption (CP-ABE) technique is used to encrypt tables published by hospitals, including patients’ Ehrs, and the primary key is stored in the database with the patient’s unique identity.
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A hierarchical threshold secret image sharing

TL;DR: This paper uses Tassa's hierarchical secret sharing to propose a hierarchical threshold secret image sharing scheme, in which the shadow images are partitioned into several levels, and the threshold access structure is determined by a sequence of threshold requirements.
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Dynamic Multi-Phrase Ranked Search over Encrypted Data with Symmetric Searchable Encryption

TL;DR: This paper proposes a multi-phrase ranked search over encrypted cloud data, which also supports dynamic update operations, such as adding or deleting files, and used an inverted index to record the locations of keywords and to judge whether the phrase appears.
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Enabling Privacy-Assured Fog-Based Data Aggregation in E-Healthcare Systems

TL;DR: This article designs an improved symmetric homomorphic cryptosystem and a fog-based communication architecture to support delay- or time-sensitive monitoring and other-related applications and demonstrates that the approach enables privacy-assured medical data aggregation.