H
Hsin-Te Wu
Researcher at National Ilan University
Publications - 32
Citations - 439
Hsin-Te Wu is an academic researcher from National Ilan University. The author has contributed to research in topics: Message authentication code & Authentication. The author has an hindex of 8, co-authored 29 publications receiving 270 citations. Previous affiliations of Hsin-Te Wu include National Sun Yat-sen University & National Penghu University of Science and Technology.
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Journal ArticleDOI
Applying Big Data for Intelligent Agriculture-Based Crop Selection Analysis
TL;DR: Results confirm that the proposed scheme is indeed feasible and that the system determines whether a selected crop has been placed in the appropriate cluster and sets a critical value in the cluster based on future environments and provides advice on whether a crop is suitable for the farm.
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Establishing an Intelligent Transportation System With a Network Security Mechanism in an Internet of Vehicle Environment
Hsin-Te Wu,Gwo-Jiun Horng +1 more
TL;DR: This paper satisfies IoVs network security requirements of authentication, non-repudiation, conditional anonymity, and conditional untraceability, and, as seen from experiment results, the proposed method is superior to that of other studies.
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Toward Blockchains for Health-Care Systems: Applying the Bilinear Pairing Technology to Ensure Privacy Protection and Accuracy in Data Sharing
Hsin-Te Wu,Chun-Wei Tsai +1 more
TL;DR: A health-care system gathers comprehensive physiological information and medical records, making its data more important than ever, and this database is successful primarily because Taiwan is a small but densely populated island, making it relatively easy for the government to collect most of the anamneses.
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An intelligent agriculture network security system based on private blockchains
Hsin-Te Wu,Chun-Wei Tsai +1 more
TL;DR: The proposed scheme can safeguard network security for the IoT as well as the servers by way of applying dark web technology, which can avoid exposure of blockchains and server ID addresses and thus lower the risks of DDOS attack damages.
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Robust voice activity detection using perceptual wavelet-packet transform and Teager energy operator
TL;DR: Various experimental results show that the proposed VAD algorithm is capable of outperforming the VAD of Adaptive Multi Rate (AMR) speech codec in both additive noisy and real noisy environments.