Local differential privacy and its applications: A comprehensive survey

M Yang, T Guo, T Zhu, I Tjuawinata, J Zhao… - Computer Standards & …, 2024 - Elsevier
With the rapid development of low-cost consumer electronics and pervasive adoption of next
generation wireless communication technologies, a tremendous amount of data has been …

A comprehensive survey on local differential privacy toward data statistics and analysis

T Wang, X Zhang, J Feng, X Yang - Sensors, 2020 - mdpi.com
Collecting and analyzing massive data generated from smart devices have become
increasingly pervasive in crowdsensing, which are the building blocks for data-driven …

Local differential privacy-based federated learning for internet of things

Y Zhao, J Zhao, M Yang, T Wang… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is a promising branch of the Internet of Things. IoV simulates a
large variety of crowdsourcing applications, such as Waze, Uber, and Amazon Mechanical …

A survey of trust management in the Internet of Vehicles

A Hbaieb, S Ayed, L Chaari - Computer Networks, 2022 - Elsevier
In recent years, the emergence of the Internet of Vehicles (IoV) aims to enhance the users'
quality of experience through proposing more sophisticated services ranging from …

A secure and privacy preserved parking recommender system using elliptic curve cryptography and local differential privacy

AA Khaliq, A Anjum, AB Ajmal, JL Webber… - IEEE …, 2022 - ieeexplore.ieee.org
The privacy preservation has received considerable attention from organizations as the
growing population is apprehensive regarding personal data being preserved. Smart …

A survey of differential privacy-based techniques and their applicability to location-based services

JW Kim, K Edemacu, JS Kim, YD Chung, B Jang - Computers & Security, 2021 - Elsevier
The widespread use of mobile devices such as smartphones, tablets, and smartwatches has
led users to constantly generate various location data during their daily activities …

A comprehensive survey on local differential privacy

X Xiong, S Liu, D Li, Z Cai, X Niu - Security and Communication …, 2020 - Wiley Online Library
With the advent of the era of big data, privacy issues have been becoming a hot topic in
public. Local differential privacy (LDP) is a state‐of‐the‐art privacy preservation technique …

Joint protection of energy security and information privacy for energy harvesting: An incentive federated learning approach

Q Pan, J Wu, AK Bashir, J Li, W Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Energy harvesting (EH) is a promising and critical technology to mitigate the dilemma
between the limited battery capacity and the increasing energy consumption in the Internet …

[HTML][HTML] Safeguarding cross-silo federated learning with local differential privacy

C Wang, X Wu, G Liu, T Deng, K Peng… - Digital Communications …, 2022 - Elsevier
Federated Learning (FL) is a new computing paradigm in privacy-preserving Machine
Learning (ML), where the ML model is trained in a decentralized manner by the clients …

Blockchain-based solutions for security, privacy, and trust management in vehicular networks: a survey

B Mikavica, A Kostić-Ljubisavljević - The Journal of Supercomputing, 2021 - Springer
Vehicular networks are considered as one of the most pertinent research topics in intelligent
transportation systems and anchors for future smart city environment due to the ability to …