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Chin-Ling Chen
Researcher at Chaoyang University of Technology
Publications - 242
Citations - 2279
Chin-Ling Chen is an academic researcher from Chaoyang University of Technology. The author has contributed to research in topics: Authentication & Mutual authentication. The author has an hindex of 21, co-authored 209 publications receiving 1674 citations. Previous affiliations of Chin-Ling Chen include Xiamen University of Technology & Changchun University of Science and Technology.
Papers
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Journal ArticleDOI
Conformation of EPC Class 1 Generation 2 standards RFID system with mutual authentication and privacy protection
Chin-Ling Chen,Yong-Yuan Deng +1 more
TL;DR: This paper proposes a new authentication and encryption method that conforms to the EPC Class 1 Generation 2 standards to ensure RFID security between tags and readers and proves its feasibility for use in several applications.
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An extended chaotic maps-based key agreement protocol with user anonymity
TL;DR: The proposed protocol can resist the known attack which is proposed by Bergamo et al. and provide mutual authentication and user anonymity, and an extended chaotic maps-based key agreement protocol which can resist these attacks.
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An Efficient User Authentication and User Anonymity Scheme with Provably Security for IoT-Based Medical Care System.
TL;DR: An improved secure authentication and data encryption scheme for the IoT-based medical care system is presented, which can provide user anonymity and prevent the security threats of replay and password/sensed data disclosure attacks, and is more efficient in performance compared with previous related schemes.
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Mobile device integration of a fingerprint biometric remote authentication scheme
TL;DR: This work involves a fingerprint biometric and password to enhance the security level of the remote authentication scheme, which uses only hashing functions to implement a robust authentication with a low computation property.
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An Intelligent and Secure Health Monitoring Scheme Using IoT Sensor Based on Cloud Computing
TL;DR: An intelligent and secure health monitoring scheme using IoT sensor based on cloud computing and cryptography is proposed that achieves authentication and provides essential security requirements.