A Privacy-Preserving Smart Body Scale with K-Means Anonymization towards GDPR-Compliant IoT-Reference-Cited by-同舟云学术

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A Privacy-Preserving Smart Body Scale with K-Means Anonymization towards GDPR-Compliant IoT

Published:2023-12-30 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE)
language:
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Author:

Abdurohman Maman¹,Prabowo Sidik¹,Putrada Aji Gautama¹,Dian Oktaviani Ikke¹,Nuha Hilal Hudan¹,Witarsyah Jacob Deden²,Janssen Marijn³

Affiliation:

1. Telkom University,School of Computing,Bandung,Indonesia

2. Telkom University,Faculty of Industrial Engineering,Bandung,Indonesia

3. Delft University of Technology,Faculty of Technology Policy And Management,Delft,Nethderlands

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10441786/10441790/10442797.pdf?arnumber=10442797

Reference30 articles.

1. Research on Application and Measurement of Body Scale

2. Prediction of Personal Cardiovascular Risk using Machine Learning for Smartphone Applications

3. Split learning without local weight sharing to enhance client-side data privacy;Pham,2022

4. On the Role of Data Anonymization in Machine Learning Privacy

5. Use Fewer Instances of the Letter “i”: Toward Writing Style Anonymization

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Homomorphic Encryption for Privacy Preservation in Occupancy Sensor-Based Smart Lighting;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10

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