Privacy preserving location data publishing: A machine learning approach

S Shaham, M Ding, B Liu, S Dang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Publishing datasets plays an essential role in open data research and promoting
transparency of government agencies. However, such data publication might reveal users' …

Location anonymization with considering errors and existence probability

Y Sei, A Ohsuga - IEEE Transactions on Systems, Man, and …, 2016 - ieeexplore.ieee.org
Mobile devices that can sense their location using GPS or Wi-Fi have become extremely
popular. However, many users hesitate to provide their accurate location information to …

A novel personalized TTP-free location privacy preserving method

N Yang, Y Cao, Q Liu, J Zheng - International Journal of Security and Its …, 2014 - earticle.net
This paper proposes a novel TTP (Trusted Third Party)-free location privacy preserving
method. A cloaking region is used to hide the precise position of the location based service …

Trajectory anonymization: Balancing usefulness about position information and timestamp

T Chiba, Y Sei, Y Tahara… - 2019 10th IFIP …, 2019 - ieeexplore.ieee.org
Movement trajectories can provide useful information for all fields. However, they may have
high privacy parameters, sharing trajectory data with other operators without anonymization …

PRIVACY PRESERVING LOCATION DATA PUBLISHING: A MACHINE LEARNING APPROACH

DN Teja, PA Khan, A Sunny - Journal of Science & Technology (JST), 2023 - jst.org.in
Publishing datasets plays an essential role in open data research and promoting
transparency of government agencies. However, such data publication might reveal users …

PRESERVING PRIVACY IN THE ERA OF BIG DATA: A MACHINE LEARNING-BASED ANONYMIZATION FRAMEWORK FOR SPATIOTEMPORAL TRAJECTORY …

CG Akhtar, G Lahari, P Shruthi - Journal of Science & Technology (JST), 2023 - jst.org.in
Publishing datasets plays an essential role in open data research and promoting
transparency of government agencies. However, such data publication might reveal users' …

[PDF][PDF] PRIVACY PRESERVING LOCATION DATA PUBLISHING-A MACHINE LEARNING APPROACH

SV Ramana, MK Reddy, N Vaishnavi, M Srija… - jcdronline.org
Publishing datasets plays an essential role in open data research and promoting
transparency of government agencies. However, such data publication might reveal users' …

[PDF][PDF] Location Privacy in the Era of Big Data and Machine Learning

S Shaham - 2019 - core.ac.uk
Location data of individuals is one of the most sensitive sources of information that once
revealed to ill-intended individuals or service providers, can cause severe privacy concerns …

Information protection device and information protection method

T Takahashi - US Patent 9,087,203, 2015 - Google Patents
When position information is added in a real-time fashion, anonymity of movement
trajectories is ensured and the degree of abstraction of positioning data included in the posi …

[PDF][PDF] Grid-based Semantic Cloaking Method for Continuous Moving Object Anonymization

X Zhang, SS Shin, GB Kim, HY Bae - Journal of The Korea Society …, 2013 - koreascience.kr
Location privacy has been a serious concern for mobile users who use location-based
services to acquire geographical location continuously. Spatial cloaking technique is a well …