Deep learning methods for fingerprint-based indoor positioning: A review

F Alhomayani, MH Mahoor - Journal of Location Based Services, 2020 - Taylor & Francis
Outdoor positioning systems based on the Global Navigation Satellite System have several
shortcomings that have deemed their use for indoor positioning impractical. Location …

A utility-aware general framework with quantifiable privacy preservation for destination prediction in LBSs

H Jiang, M Wang, P Zhao, Z Xiao… - IEEE/ACM Transactions …, 2021 - ieeexplore.ieee.org
Destination prediction plays an important role as the basis for a variety of location-based
services (LBSs). However, it poses many threats to users' location privacy. Most related work …

Data-driven intrusion detection for intelligent internet of vehicles: A deep convolutional neural network-based method

L Nie, Z Ning, X Wang, X Hu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
As an industrial application of Internet of Things (IoT), Internet of Vehicles (IoV) is one of the
most crucial techniques for Intelligent Transportation System (ITS), which is a basic element …

Privacy-preserving localization for underwater sensor networks via deep reinforcement learning

J Yan, Y Meng, X Yang, X Luo… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Underwater sensor networks (USNs) are envisioned to enable a large variety of marine
applications. Such applications require accurate position information of sensor nodes …

Privacy in indoor positioning systems: A systematic review

S Holcer, J Torres-Sospedra, M Gould… - … on localization and …, 2020 - ieeexplore.ieee.org
This article proposes a systematic review of privacy in indoor positioning systems. The
selected 41 articles on location privacy preserving mechanisms employ non-inherently …

ALPS: Achieving accuracy-aware location privacy service via assisted regions

S Zhang, T Guo, Q Liu, E Luo, KKR Choo… - Future Generation …, 2023 - Elsevier
Location search services (LSSs) provide convenience and enhanced functionality of
ubiquitous computing, but they lead to a new risk of private location data leakage. The …

Deep-reinforcement-learning-based energy-efficient resource management for social and cognitive Internet of Things

H Yang, WD Zhong, C Chen… - ieee internet of things …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) has attracted much interest due to its wide applications, such as
smart city, manufacturing, transportation, and healthcare. Social and cognitive IoT is capable …

Eclipse: Preserving differential location privacy against long-term observation attacks

B Niu, Y Chen, Z Wang, F Li, B Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mechanisms built upon geo-indistinguishability render location privacy, where a user can
submit obfuscated locations to Location-Based Service providers but still be able to correctly …

[HTML][HTML] Privacy computing: concept, computing framework, and future development trends

F Li, H Li, B Niu, J Chen - Engineering, 2019 - Elsevier
With the rapid development of information technology and the continuous evolution of
personalized services, huge amounts of data are accumulated by large internet companies …

A survey on indoor positioning security and privacy

Y Sartayeva, HCB Chan - Computers & Security, 2023 - Elsevier
With rising demand for indoor location-based services (LBS) such as location-based
marketing, mobile navigation, etc., there has been considerable interest in indoor …