4.7 Article

A Framework for Personalized Location Privacy

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Information Systems

Eclipse: Preserving Differential Location Privacy Against Long-Term Observation Attacks

Ben Niu et al.

Summary: This paper presents mechanisms based on geo-indistinguishability for preserving location privacy, and identifies their vulnerabilities under long-term observation attacks. In response to these vulnerabilities, a novel mechanism called Eclipse is proposed to bridge the gap between location protection and service usability. By obfuscating locations and hiding each location based on an anonymity set, the Eclipse mechanism effectively suppresses information leakage under long-term observation attacks.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2022)

Article Computer Science, Information Systems

Privacy Preservation in Location-Based Services: A Novel Metric and Attack Model

Sina Shaham et al.

Summary: In recent years, there has been a growing demand for location-based services in daily life, leading to concerns about user location privacy. To address this, researchers have developed dummy-based algorithms to protect user privacy. This paper introduces a new attack model and evaluation metric, followed by the development of a robust defense algorithm against the attack.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2021)

Article Computer Science, Artificial Intelligence

Privacy Preserving Location Data Publishing: A Machine Learning Approach

Sina Shaham et al.

Summary: Publishing datasets is crucial for open data research and government transparency, but can lead to privacy concerns, especially in spatiotemporal trajectory datasets. Applying privacy preserving techniques before publication is essential. This paper introduces a machine learning based framework for anonymizing datasets, improving utility while protecting privacy.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2021)

Article Computer Science, Theory & Methods

Source-Location Privacy Protection Based on Anonymity Cloud in Wireless Sensor Networks

Na Wang et al.

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2020)

Article Engineering, Multidisciplinary

Privacy Computing: Concept, Computing Framework, and Future Development Trends

Fenghua Li et al.

ENGINEERING (2019)

Proceedings Paper Computer Science, Information Systems

PriSTE: From Location Privacy to Spatiotemporal Event Privacy

Yang Cao et al.

2019 IEEE 35TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2019) (2019)

Article Computer Science, Hardware & Architecture

Privacy Leakage of Location Sharing in Mobile Social Networks: Attacks and Defense

Huaxin Li et al.

IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING (2018)

Article Computer Science, Information Systems

Blind Filtering at Third Parties: An Efficient Privacy-Preserving Framework for Location-Based Services

Jing Chen et al.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2018)

Article Computer Science, Information Systems

Location Privacy and Its Applications: A Systematic Study

Bo Liu et al.

IEEE ACCESS (2018)

Article Computer Science, Hardware & Architecture

PROACTIVE CACHE-BASED LOCATION PRIVACY PRESERVING FOR VEHICLE NETWORKS

Long Hu et al.

IEEE WIRELESS COMMUNICATIONS (2018)

Article Computer Science, Hardware & Architecture

KCLP: A K-MEANS CLUSTER-BASED LOCATION PRIVACY PROTECTION SCHEME IN WSNS FOR IOT

Guangjie Han et al.

IEEE WIRELESS COMMUNICATIONS (2018)

Article Computer Science, Hardware & Architecture

From Social Group Utility Maximization to Personalized Location Privacy in Mobile Networks

Xiaowen Gong et al.

IEEE-ACM TRANSACTIONS ON NETWORKING (2017)

Article Computer Science, Theory & Methods

A Survey of Techniques for Approximate Computing

Sparsh Mittal

ACM COMPUTING SURVEYS (2016)

Article Computer Science, Hardware & Architecture

STAMP: Enabling Privacy-Preserving Location Proofs for Mobile Users

Xinlei Wang et al.

IEEE-ACM TRANSACTIONS ON NETWORKING (2016)

Proceedings Paper Computer Science, Theory & Methods

Synthesizing Plausible Privacy-Preserving Location Traces

Vincent Bindschaedler et al.

2016 IEEE SYMPOSIUM ON SECURITY AND PRIVACY (SP) (2016)

Article Computer Science, Hardware & Architecture

PRIVACY PROTECTION FOR USERS OF LOCATION-BASED SERVICES

Kang G. Shin et al.

IEEE WIRELESS COMMUNICATIONS (2012)

Proceedings Paper Computer Science, Theory & Methods

Privacy in Mobile Computing for Location-Sharing-Based Services

Igor Bilogrevic et al.

PRIVACY ENHANCING TECHNOLOGIES (2011)

Article Computer Science, Information Systems

Location privacy in pervasive computing

AR Beresford et al.

IEEE PERVASIVE COMPUTING (2003)