HRR: a data cleaning approach preserving local differential privacy
For the sensitive data generated by the sensor, we can use the noise to protect the privacy of these data. However, because of the complicated collection environment of the sensor data, it is easy to obtain some disorderly data, and the data need to be cleaned before use. In this work, we establish...
Saved in:
Main Authors: | Qilong Han, Qianqian Chen, Liguo Zhang, Kejia Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-12-01
|
Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1177/1550147718819938 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Privacy preservation in data intensive environment
by: Jyotir Moy Chatterjee, et al.
Published: (2018-04-01) -
A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy
by: Muhammad Adnan, et al.
Published: (2025-01-01) -
Preserving Differential Privacy for Similarity Measurement in Smart Environments
by: Kok-Seng Wong, et al.
Published: (2014-01-01) -
EPPDC: An Efficient Privacy-Preserving Scheme for Data Collection in Smart Grid
by: Jie Chen, et al.
Published: (2015-05-01) -
A Secure Privacy-Preserving Data Aggregation Model in Wearable Wireless Sensor Networks
by: Changlun Zhang, et al.
Published: (2015-01-01)