Publikationen von Kin-Woon Yeow

2024

  • An Automated Monitoring System for Controlled Greenhouse Horticulture
    Matthias Becker and Kin-Woon Yeow
    Proceedings of the 16th KES-IDT 2024 Conference - KES-IDT '24
    In the field of controlled horticulture, various methods have been studied to facilitate the environmental data retrieval. One of the great findings in this research is the attraction of insect’s behavior towards the LED lighting of various wavelengths. Previous research shows promising results using LED based insect traps for insect population estimation in greenhouses. Therefore, an automated monitoring system is proposed as a standardization tool for environmental data gathering and estimation of pest population in controlled horticulture settings. The proposed automated monitoring system integrates object recognition models (combination of YOLOv3 and SVM) that identify and classify the pest and beneficial population density. The proposed system provides informative output via a mobile application. As a result, the proposed system functions as an integrated IoT management tool that simplifies the information retrieval process.

2023

2019

  • Enhancement of a Lightweight Attribute-Based Encryption Scheme for the Internet of Things
    Syh-Yuan Tan, Kin-Woon Yeow and Seong Oun Hwang
    IEEE Internet of Things Journal
    In this paper, we present the enhancement of a lightweight key-policy attribute-based encryption (KP-ABE) scheme designed for the Internet of Things (IoT). The KP-ABE scheme was claimed to achieve ciphertext indistinguishability under chosen-plaintext attack in the selective-set model but we show that the KP-ABE scheme is insecure even in the weaker security notion, namely, one-way encryption under the same attack and model. In particular, we show that an attacker can decrypt a ciphertext which does not satisfy the policy imposed on his decryption key. Subsequently, we propose an efficient fix to the KP-ABE scheme as well as extending it to be a hierarchical KP-ABE (H-KP-ABE) scheme that can support role delegation in IoT applications. An example of applying our H-KP-ABE on an IoT-connected healthcare system is given to highlight the benefit of the delegation feature. Lastly, using the NIST curves secp192k1 and secp256k1, we benchmark the fixed (hierarchical) KP-ABE scheme on an Android phone and the result shows that the scheme is still the fastest in the literature.

2018

2017

2015