A New Weight and Sensitivity Based Variable Maximum Distance to Average Vector Algorithm for Wearable Sensor Data Privacy Protection

A New Weight and Sensitivity Based Variable Maximum Distance to Average Vector Algorithm for Wearable Sensor Data Privacy Protection

The problem of privacy protection of wearable devices when publishing data can be solved based on the variable-maximum distance average vector. This paper proposes a new weight and sensitivity based variable maximum distance average vector (WSV-MDAV) method aiming to solve the problems that may be c...

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Bibliographic Details
Main Authors: Zhenjiang Zhang, Bowen Han, Han-Chieh Chao, Feng Sun, Lorna Uden, Di Tang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Wearable device
privacy protection
micro aggregation
differential privacy
Online Access:https://ieeexplore.ieee.org/document/8756281/

Internet

https://ieeexplore.ieee.org/document/8756281/

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