Collaborative indoor positioning systems: A systematic review

P Pascacio, S Casteleyn, J Torres-Sospedra, ES Lohan… - Sensors, 2021 - mdpi.com
Research and development in Collaborative Indoor Positioning Systems (CIPSs) is growing
steadily due to their potential to improve on the performance of their non-collaborative …

Privacy-preserving cross-environment human activity recognition

L Zhang, W Cui, B Li, Z Chen, M Wu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Recent studies have demonstrated the success of using the channel state information (CSI)
from the WiFi signal to analyze human activities in a fixed and well-controlled environment …

A blockchain-enabled explainable federated learning for securing internet-of-things-based social media 3.0 networks

S Salim, B Turnbull, N Moustafa - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Social media (SM) 3.0 integrates SM platforms, such as Facebook and Twitter, with the
Internet of Things (IoT), and has a great potential to change how we interact with mobile …

PILOT: Practical privacy-preserving indoor localization using outsourcing

K Järvinen, H Leppäkoski, ES Lohan… - 2019 IEEE European …, 2019 - ieeexplore.ieee.org
In the last decade, we observed a constantly growing number of Location-Based Services
(LBSs) used in indoor environments, such as for targeted advertising in shopping malls or …

Preserving privacy in WiFi localization with plausible dummy locations

P Zhao, W Liu, G Zhang, Z Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Benefiting from the development of wireless communication, WiFi localization plays a vital
role in various mobile applications. However, users' locations are breached by untrusted …

Efficiently stealing your machine learning models

RN Reith, T Schneider, O Tkachenko - … of the 18th ACM Workshop on …, 2019 - dl.acm.org
Machine Learning as a Service (MLaaS) is a growing paradigm in the Machine Learning
(ML) landscape. More and more ML models are being uploaded to the cloud and made …

The death and rebirth of privacy-preserving WiFi fingerprint localization with Paillier encryption

Z Yang, K Järvinen - IEEE INFOCOM 2018-IEEE conference on …, 2018 - ieeexplore.ieee.org
Localization based on premeasured WiFi fingerprints is a popular method for indoor
localization where satellite based positioning systems are unavailable. In these systems …

Practical privacy-preserving indoor localization based on secure two-party computation

R Nieminen, K Järvinen - IEEE Transactions on Mobile …, 2020 - ieeexplore.ieee.org
We present a privacy-preserving indoor localization scheme based on received signal
strength measurements, eg, from WiFi access points. Our scheme preserves the privacy of …

DP3: A differential privacy-based privacy-preserving indoor localization mechanism

Y Wang, M Huang, Q Jin, J Ma - IEEE Communications Letters, 2018 - ieeexplore.ieee.org
Wi-Fi fingerprint-based indoor localization is regarded as one of the most promising
techniques for location-based services. However, it faces serious problem of privacy …

Indoor Location Fingerprinting Privacy: A Comprehensive Survey

A Fathalizadeh, V Moghtadaiee, M Alishahi - arXiv preprint arXiv …, 2024 - arxiv.org
The pervasive integration of Indoor Positioning Systems (IPS) arises from the limitations of
Global Navigation Satellite Systems (GNSS) in indoor environments, leading to the …