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Kheng Cher Yeo on Muck Rack

Kheng Cher Yeo

As seen in: MDPI
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Articles

ARIONet: An Advanced Self-supervised Contrastive Representation Network for Birdsong Classification and Future Frame Prediction

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By Selvarajah Thuseethan, Kheng Cher Yeo, Reem Mohamed, Kheng Cher
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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SDN-Enabled IoT Security Frameworks-A Review of Existing Challenges

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By Sandipan Mishra, Bharanidharan Shanmugam, Kheng Cher Yeo, Suresh N. Thennadil
| MDPI
1. Introduction The Internet of Things (IoT) represents a revolutionary advancement in technology that allows everyday devices to connect and communicate with each other through the internet. From smart home devices to industrial sensors, IoT has transformed how we interact with technology in our daily lives. However, this increased connectivity brings significant security challenges that traditional security methods struggle to address [1,2].
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JSAN | Free Full-Text | PbDinEHR: A Novel Privacy by Design Developed Framework Using Distributed Data Storage and Sharing for Secure and Scalable Electronic Health Records Management

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By Sami Azam, Bharanidharan Shanmugam, Farida Habib Semantha, Kheng Cher Yeo
| MDPI
3.3.3. Proposed Patient Record Management System Workflow Our proposed healthcare principles (HPs), privacy design patterns, private IPFS and permissioned blockchain network were executed into the proposed framework to ensure privacy while processing patient information. This research mainly selected PRMS to implement the proposed mechanisms. In Figure 5, the workflow represents the entire process from the users’, the data owners’, and the requesters’ points of view.
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