Awesom: Automatic discrete partitioning of indoor spaces for wifi fingerprinting

T Pulkkinen, P Nurmi - International Conference on Pervasive Computing, 2012 - Springer
WiFi fingerprinting is currently one of the most popular techniques for indoor localization as it
provides reasonable positioning accuracy while at the same time being able to exploit …

Stay connected, leave no trace: Enhancing security and privacy in wifi via obfuscating radiometric fingerprints

LF Abanto-Leon, A Bäuml, GH Sim, M Hollick… - Proceedings of the …, 2020 - dl.acm.org
The intrinsic hardware imperfection of WiFi chipsets manifests itself in the transmitted signal,
leading to a unique radiometric fingerprint. This fingerprint can be used as an additional …

Indoor localization and automatic fingerprint update with altered AP signals

S He, W Lin, SHG Chan - IEEE Transactions on Mobile …, 2016 - ieeexplore.ieee.org
Wi-Fi fingerprinting has been extensively studied for indoor localization due to its
deployability under pervasive indoor WLAN. As the signals from access points (APs) may …

[HTML][HTML] Your WiFi is leaking: What do your mobile apps gossip about you?

JS Atkinson, JE Mitchell, M Rio, G Matich - Future Generation Computer …, 2018 - Elsevier
This paper describes how mobile device apps can inadvertently broadcast personal
information through their use of wireless networks despite the correct use of encryption …

Miamimapper: Crowd analysis using active and passive indoor localization through wi-fi probe monitoring

N Jarvis, J Hata, N Wayne, V Raychoudhury… - Proceedings of the 15th …, 2019 - dl.acm.org
Crowd analysis and monitoring in large congregations is an important problem related to
public safety and planning. Researchers have long been using image and video for effective …

ZiFi: Wireless LAN discovery via ZigBee interference signatures

R Zhou, Y Xiong, G Xing, L Sun, J Ma - Proceedings of the sixteenth …, 2010 - dl.acm.org
WiFi networks have enjoyed an unprecedent penetration rate in recent years. However, due
to the limited coverage, existing WiFi infrastructure only provides intermittent connectivity for …

Widar: Decimeter-level passive tracking via velocity monitoring with commodity Wi-Fi

K Qian, C Wu, Z Yang, Y Liu, K Jamieson - Proceedings of the 18th ACM …, 2017 - dl.acm.org
Various pioneering approaches have been proposed for Wi-Fi-based sensing, which usually
employ learning-based techniques to seek appropriate statistical features, yet do not support …

CrossSense: Towards cross-site and large-scale WiFi sensing

J Zhang, Z Tang, M Li, D Fang, P Nurmi… - Proceedings of the 24th …, 2018 - dl.acm.org
We present CrossSense, a novel system for scaling up WiFi sensing to new environments
and larger problems. To reduce the cost of sensing model training data collection …

Precise indoor localization using PHY information

S Sen, B Radunovic, R Roy Choudhury… - Proceedings of the 9th …, 2011 - dl.acm.org
This poster shows the viability of precise indoor localization using physical layer information
in WiFi systems. We find that channel frequency responses across multiple OFDM …

Augmentation of fingerprints for indoor WiFi localization based on Gaussian process regression

W Sun, M Xue, H Yu, H Tang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
WiFi-Fingerprint is extensively utilized for indoor localization with the advent of the high-
density wireless networks deployment and research on ubiquitous intelligence …