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' …

[HTML][HTML] CD/CV: Blockchain-based schemes for continuous verifiability and traceability of IoT data for edge–fog–cloud

C Martinez-Rendon, JL González-Compeán… - Information Processing …, 2023 - Elsevier
This paper presents a continuous delivery/continuous verifiability (CD/CV) method for IoT
dataflows in edge–fog–cloud. A CD model based on extraction, transformation, and load …

Efficient and Privacy Preserving Clustering Algorithm for Spatiotemporal Data

A Mehmood, I Natgunanathan… - International Journal of …, 2024 - World Scientific
The efficiency of a spatiotemporal data analysis algorithm decreases as the amount of data
increases. Many clustering techniques have been proposed for data analysis applications …

Transition-Entropy: a novel metric for privacy preservation in location-based services

S Shaham, M Ding, B Liu, Z Lin… - IEEE INFOCOM 2019 …, 2019 - ieeexplore.ieee.org
The advent of location-based services has created the need for preserving the location
privacy of users. An adversary such as an untrusted location-based server can monitor the …

[PDF][PDF] Trajectory Data Privacy: Research Challenges and Opportunities.

TT Portela, F Vicenzi, V Bogorny - GEOINFO, 2019 - mtc-m16d.sid.inpe.br
With the explosion of trajectory data available from many sources, emerges the problem of
data privacy. Trajectory privacy methods have been studied for many years. Data analysis …

[PDF][PDF] 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 …

New techniques to integrate blockchain in Internet of Things scenarios for massive data management

C Martínez Rendón - https://doi. org/10.1016/j. ipm. 2022.103155, 2023 - e-archivo.uc3m.es
Nowadays, regardless of the use case, most IoT data is processed using workflows that are
executed on different infrastructures (edge-fog-cloud), which produces dataflows from the …

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

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] PRESERVING PRIVACY IN THE ERA OF BIG DATA A ML BASED ANONYMIZATION FRAMEWORK

A Kasthuri, A Shruthilaya, B Jayavarshitha - Journal of Science & …, 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] SECURE DATA SHARING USING WEB CLOUD STORAGE PLATFORM

B MAHESWARI, L SRIVIDYA - Journal of Engineering Sciences, 2023 - jespublication.com
With more and more data moving to the cloud, privacy of user data have raised great
concerns. Client-side encryption/decryption seems to be an attractive solution to protect data …