Journal ArticleDOI
Tool release: gathering 802.11n traces with channel state information
Daniel Halperin,Wenjun Hu,Anmol Sheth,David Wetherall +3 more
- Vol. 41, Iss: 1, pp 53-53
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TLDR
The measurement setup comprises the customized versions of Intel's close-source firmware and open-source iwlwifi wireless driver, userspace tools to enable these measurements, access point functionality for controlling both ends of the link, and Matlab scripts for data analysis.Abstract:
We are pleased to announce the release of a tool that records detailed measurements of the wireless channel along with received 802.11 packet traces. It runs on a commodity 802.11n NIC, and records Channel State Information (CSI) based on the 802.11 standard. Unlike Receive Signal Strength Indicator (RSSI) values, which merely capture the total power received at the listener, the CSI contains information about the channel between sender and receiver at the level of individual data subcarriers, for each pair of transmit and receive antennas.Our toolkit uses the Intel WiFi Link 5300 wireless NIC with 3 antennas. It works on up-to-date Linux operating systems: in our testbed we use Ubuntu 10.04 LTS with the 2.6.36 kernel. The measurement setup comprises our customized versions of Intel's close-source firmware and open-source iwlwifi wireless driver, userspace tools to enable these measurements, access point functionality for controlling both ends of the link, and Matlab (or Octave) scripts for data analysis. We are releasing the binary of the modified firmware, and the source code to all the other components.read more
Citations
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Journal ArticleDOI
Rapid: A Multimodal and Device-free Approach Using Noise Estimation for Robust Person Identification
TL;DR: This paper presents Rapid, a system that can perform robust person identification in a device-free and low-cost manner, using fine-grained channel information of WiFi and acoustic information from footstep sound and adaptively fuse CSI and acoustic measurements to achieve robust people identification.
Journal ArticleDOI
CSI-Based Device-Free Wireless Localization and Activity Recognition Using Radio Image Features
TL;DR: A radio image processing approach is explored and exploited to better characterize the influence of human behaviors on Wi-Fi signals and transform CSI measurements from multiple channels into a radio image, extract color and texture features from the radio image and adopt a deep learning network to learn optimized deep features from image features.
Proceedings ArticleDOI
WiDir: walking direction estimation using wireless signals
TL;DR: WiDir is presented, the first system that leverages WiFi wireless signals to estimate a human's walking direction, in a device-free manner, based on Fresnel zone model and can estimate human walking direction with a median error of less than 10 degrees.
Journal ArticleDOI
Toward Centimeter-Scale Human Activity Sensing with Wi-Fi Signals
Daqing Zhang,Hao Wang,Dan Wu +2 more
TL;DR: By allowing centimeter-scale human activity sensing with Wi-Fi signals, the Fresnel zone model could revolutionize wireless sensing and Internet of Things applications.
Proceedings ArticleDOI
When CSI Meets Public WiFi: Inferring Your Mobile Phone Password via WiFi Signals
TL;DR: A novel and practical keystroke inference framework that allows an attacker to infer the sensitive keystrokes on a mobile device through WiFi-based side-channel information and can recover the key with a high successful rate is presented.
References
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Proceedings ArticleDOI
Predictable 802.11 packet delivery from wireless channel measurements
TL;DR: It is shown that, for the first time, wireless packet delivery can be accurately predicted for commodity 802.11 NICs from only the channel measurements that they provide, and the rate prediction is as good as the best rate adaptation algorithms for 802.
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ACM SIGCOMM computer communication review
TL;DR: The Internet is going mobile and wireless, perhaps quite soon, with a number of diverse technologies leading the charge, including, 3G cellular networks based on CDMA technology, a wide variety of what is deemed 2.5G cellular technologies (e.g., EDGE, GPRS and HDR), and IEEE 802.11 wireless local area networks (WLANs).
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802.11 with multiple antennas for dummies
TL;DR: This tutorial provides a brief introduction to multiple antenna techniques, and describes the two main classes of those techniques, spatial diversity and spatial multiplexing.