Multidimensional Epidemiological Survey Data Aggregation Scheme Based on Personalized Local Differential Privacy

Multidimensional Epidemiological Survey Data Aggregation Scheme Based on Personalized Local Differential Privacy

In recent years, with the rapid development of intelligent technology, information security and privacy issues have become increasingly prominent. Epidemiological survey data (ESD) research plays a vital role in understanding the laws and trends of disease transmission. However, epidemiological inve...

Full description

Bibliographic Details
Main Authors:	Xueyan Liu, Qiong Liu, Jia Wang, Hao Sun
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Series:	Symmetry
Subjects:	privacy protection data encryption sharing personalized local differential privacy signcryption
Online Access:	https://www.mdpi.com/2073-8994/16/3/294

Similar Items

An Efficient and Conditional Privacy-Preserving Heterogeneous Signcryption Scheme for the Internet of Drones
by: Muhammad Asghar Khan, et al.
Published: (2023-01-01)

PLDP-FL: Federated Learning with Personalized Local Differential Privacy
by: Xiaoying Shen, et al.
Published: (2023-03-01)

Local Differential Privacy for Person-to-Person Interactions
by: Yuichi Sei, et al.
Published: (2022-01-01)

Consideration of FedProx in Privacy Protection
by: Tianbo An, et al.
Published: (2023-10-01)

Pervasive User Data Collection from Cyberspace: Privacy Concerns and Countermeasures
by: Yinhao Jiang, et al.
Published: (2024-01-01)

Personalized Privacy Protection Based on Space Grid in Mobile Crowdsensing
by: Hengfei Gao, et al.
Published: (2023-11-01)

Homomorphic Encryption Based Privacy Preservation Scheme for DBSCAN Clustering
by: Mingyang Wang, et al.
Published: (2022-03-01)

Consumers’ Need of Privacy Protection – Experimental Results
by: Elżbieta Babula, et al.
Published: (2017-06-01)

Social Network Graph Generation Method Satisfying Personalized Differential Privacy
by: Rui GAO, et al.
Published: (2024-01-01)

Exploring Homomorphic Encryption and Differential Privacy Techniques towards Secure Federated Learning Paradigm
by: Rezak Aziz, et al.
Published: (2023-09-01)

Lattice-based ring signcryption for consortium blockchain
by: Huifang Yu, et al.
Published: (2023-07-01)

Local Differential Privacy-Based Federated Learning under Personalized Settings
by: Xia Wu, et al.
Published: (2023-03-01)

The Effects of Applying Privacy by Design to Preserve Privacy and Personal Data Protection in Mobile Cloud Computing: An Exploratory Study
by: Hussain Mutlaq Alnajrani, et al.
Published: (2020-12-01)

On the Lift, Related Privacy Measures, and Applications to Privacy–Utility Trade-Offs
by: Mohammad Amin Zarrabian, et al.
Published: (2023-04-01)

Homomorphic Encryption Based Privacy-Preservation for IoMT
by: Mikail Mohammed Salim, et al.
Published: (2021-09-01)

Privacy view and target of differential privacy
by: Jingyu JIA, Chang TAN, Zhewei LIU, Xinhao LI, Zheli LIU, Tao ZHANG
Published: (2023-10-01)

A Personal Privacy Data Protection Scheme for Encryption and Revocation of High-Dimensional Attribute Domains
by: Caimei Wang, et al.
Published: (2023-01-01)

FLPP: A Federated-Learning-Based Scheme for Privacy Protection in Mobile Edge Computing
by: Zhimo Cheng, et al.
Published: (2023-11-01)

FL-ODP: An Optimized Differential Privacy Enabled Privacy Preserving Federated Learning
by: Maria Iqbal, et al.
Published: (2023-01-01)

Performance Evaluation of Data Utility for a Differential Privacy Scheme Supporting Fault Tolerance
by: Lei Zhang, et al.
Published: (2023-10-01)

A Universal Privacy-Preserving Multi-Blockchain Aggregated Identity Scheme
by: Nigang Sun, et al.
Published: (2023-03-01)

Managing privacy in the digital economy
by: Chong Wang, et al.
Published: (2021-09-01)

Privacy-preserving data aggregation scheme against deletion and tampering attacks from aggregators
by: Jianhong Zhang, et al.
Published: (2023-04-01)

Using Differential Privacy to Define Personal, Anonymous, and Pseudonymous Data
by: Tao Huang, et al.
Published: (2023-01-01)

Kalman Filter-Based Differential Privacy Federated Learning Method
by: Xiaohui Yang, et al.
Published: (2022-08-01)

PPVC: Towards a Personalized Local Differential Privacy-Preserving Scheme for V2G Charging Networks
by: Peng Qin, et al.
Published: (2023-10-01)

An efficient privacy-preserving point-of-interest recommendation model based on local differential privacy
by: Chonghuan Xu, et al.
Published: (2022-12-01)

Personal data and privacy protection /
by: 281755 Abdul Raman Saad
Published: (2005)

A Survey of Dummy-Based Location Privacy Protection Techniques for Location-Based Services
by: Shiwen Zhang, et al.
Published: (2022-08-01)

A Review of Homomorphic Encryption for Privacy-Preserving Biometrics
by: Wencheng Yang, et al.
Published: (2023-03-01)

A Consent-Based Privacy-Compliant Personal Data-Sharing System
by: Hyojin Park, et al.
Published: (2023-01-01)

An Efficient Differential Privacy-Based Method for Location Privacy Protection in Location-Based Services
by: Bo Wang, et al.
Published: (2023-05-01)

Searchable Encryption Scheme for Personalized Privacy in IoT-Based Big Data
by: Shuai Li, et al.
Published: (2019-03-01)

A Blockchain-Based Privacy-Preserving Healthcare Data Sharing Scheme for Incremental Updates
by: Lianhai Wang, et al.
Published: (2024-01-01)

An Identity Privacy-Preserving Scheme against Insider Logistics Data Leakage Based on One-Time-Use Accounts
by: Nigang Sun, et al.
Published: (2023-11-01)

Multi-Smart Meter Data Encryption Scheme Basedon Distributed Differential Privacy
by: Renwu Yan, et al.
Published: (2024-03-01)

Privacy-Preserving Indoor Trajectory Matching with IoT Devices
by: Bingxian Lu, et al.
Published: (2023-04-01)

A clustering-based differential privacy protection algorithm for weighted social networks
by: Lei Zhang, et al.
Published: (2024-02-01)

Joint Hamming Coding for High Capacity Lossless Image Encryption and Embedding Scheme
by: Yi-Hui Chen, et al.
Published: (2022-02-01)

Privacy Issues in Stylometric Methods
by: Antonios Patergianakis, et al.
Published: (2022-04-01)