Tsu-Yang Wu

Prof. Dr. Tsu-Yang Wu

Shandong University of Science and Technology, Qingdao, Shandong, China
orcid

Research Focus & Metrics

Academic Career Length

54Years (1973-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 September 2018 in Journal of Ambient Intelligence and Humanized Computing
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Journal Article
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CCChien-Ming Chen
Chien-Ming Chen
KWKing-Hang Wang
King-Hang Wang
Kuo-Hui YehKuo-Hui Yeh
Kuo-Hui Yeh
BXBin Xiang
Bin Xiang
TWTsu-Yang Wu
Tsu-Yang Wu

2 January 2019 in Journal of the Chinese Institute of Engineers
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Journal Article
Closed access
TWTsu-Yang Wu
Tsu-Yang Wu
CCChien-Ming Chen
Chien-Ming Chen
KWKing-Hang Wang
King-Hang Wang
CMChao Meng
Chao Meng
EWEric Ke Wang
Eric Ke Wang
Public key encryption with keyword search, known as PEKS, is a useful technology in some Storage-as-a-Service clouds. This technology allows the cloud server to search on a keyword, which is received from the data owner/user, over encrypted data without having the ability to decrypt the stored data. PEKS with designated verifier, known as dPEKS, further advances the security of PEKS such that only a designated server can perform the keyword searching. Combining the certificateless technology, which aims to avoid the key escrow problem in ID-based cryptography, produces a certificateless dPEKS scheme that inherits the property of certificatelessness in key management in the dPEKS. This paper presents a provably secure certificateless dPEKS which has fixed an insecure scheme which was proposed earlier. The scheme presented in this paper is proven to be secure under Bilinear Diffie–Hellman problem.

30 June 2017 in The Journal of Supercomputing
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Journal Article
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KWKing-Hang Wang
King-Hang Wang
CCChien-Ming Chen
Chien-Ming Chen
WFWeicheng Fang
Weicheng Fang
TWTsu-Yang Wu
Tsu-Yang Wu

23 June 2017 in Sensors
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Journal Article
Open access
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Chun-Ta LiChun-Ta Li
Chun-Ta Li
TWTsu-Yang Wu
Tsu-Yang Wu
Chin-Ling ChenChin-Ling Chen
Chin-Ling Chen
Cheng-Chi LeeCheng-Chi Lee
Cheng-Chi Lee
CCChien-Ming Chen
Chien-Ming Chen
In recent years, with the increase in degenerative diseases and the aging population in advanced countries, demands for medical care of older or solitary people have increased continually in hospitals and healthcare institutions. Applying wireless sensor networks for the IoT-based telemedicine system enables doctors, caregivers or families to monitor patients’ physiological conditions at anytime and anyplace according to the acquired information. However, transmitting physiological data through the Internet concerns the personal privacy of patients. Therefore, before users can access medical care services in IoT-based medical care system, they must be authenticated. Typically, user authentication and data encryption are most critical for securing network communications over a public channel between two or more participants. In 2016, Liu and Chung proposed a bilinear pairing-based password authentication scheme for wireless healthcare sensor networks. They claimed their authentication scheme cannot only secure sensor data transmission, but also resist various well-known security attacks. In this paper, we demonstrate that Liu–Chung’s scheme has some security weaknesses, and we further present an improved secure authentication and data encryption scheme for the IoT-based medical care system, which can provide user anonymity and prevent the security threats of replay and password/sensed data disclosure attacks. Moreover, we modify the authentication process to reduce redundancy in protocol design, and the proposed scheme is more efficient in performance compared with previous related schemes. Finally, the proposed scheme is provably secure in the random oracle model under ECDHP.

28 January 2020 in IEEE Access
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Journal Article
Open access
TWTsu-Yang Wu
Tsu-Yang Wu
ZLZhiyuan Lee
Zhiyuan Lee
MOMohammad S. Obaidat
Mohammad S. Obaidat
SKSaru Kumari
Saru Kumari
Sachin KumarSachin Kumar
Sachin Kumar
CCChien-Ming Chen
Chien-Ming Chen
Currently, the popularity of the Internet of Things (IoT) has brought about an increase in the amount of data, so multi-server distributed cloud computing has been widely used in various applications that have brought convenience to our daily lives. At the same time, the development of the fifth generation (5G) of mobile communication technology has gradually become the main driving force for the popularization of the IoT. Because the 5G network is a heterogeneous network with multiple servers and small cells, the mutual authentication protocol under multiple servers is also applicable to the 5G network environment. However, much of the data will have serious storage and security issues during transmission. Aiming at the security issues in a multi-server (M-S) architecture, in 2018, Wu et al. proposed an authentication protocol in a distributed cloud environment. They claimed that their protocol is secure and resistant to various known types of attacks. However, we found that their protocol does not guarantee perfect forward secrecy (PFS) and suffers from privileged insider (PI) attacks. Such attacks will cause data to be out of sync. Therefore, we improved Wu et al.’s protocol and proposed an improvement in the 5G network environment. Finally, we performed a security analysis on the proposed protocol, including the automatic encryption protocol tool ProVerif, BAN logic, and informal security analysis, which proved that our protocol is secure. Compared with similar existing schemes, we have proved the efficiency of the scheme and achieved higher security standards.

1 December 2017 in Pervasive and Mobile Computing
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Journal Article
Closed access
KWKing-Hang Wang
King-Hang Wang
CCChien-Ming Chen
Chien-Ming Chen
WFWeicheng Fang
Weicheng Fang
TWTsu-Yang Wu
Tsu-Yang Wu