Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
SpectrumWare: a software-oriented approach to wireless signal processing
MobiCom '95 Proceedings of the 1st annual international conference on Mobile computing and networking
LANDMARC: indoor location sensing using active RFID
Wireless Networks - Special issue: Pervasive computing and communications
Securing wireless systems via lower layer enforcements
WiSe '06 Proceedings of the 5th ACM workshop on Wireless security
Detecting identity-based attacks in wireless networks using signalprints
WiSe '06 Proceedings of the 5th ACM workshop on Wireless security
A practical evaluation of radio signal strength for ranging-based localization
ACM SIGMOBILE Mobile Computing and Communications Review
Robust location distinction using temporal link signatures
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Robust key generation from signal envelopes in wireless networks
Proceedings of the 14th ACM conference on Computer and communications security
Secret Key Extraction in Ultra Wideband Channels for Unsynchronized Radios
CNSR '08 Proceedings of the Communication Networks and Services Research Conference
The software radio architecture
IEEE Communications Magazine
IEEE Journal on Selected Areas in Communications
SurroundSense: mobile phone localization via ambience fingerprinting
Proceedings of the 15th annual international conference on Mobile computing and networking
Hidden anchor: a lightweight approach for physical layer location privacy
NTMS'09 Proceedings of the 3rd international conference on New technologies, mobility and security
Mobility assisted secret key generation using wireless link signatures
INFOCOM'10 Proceedings of the 29th conference on Information communications
Empirical evaluation of signal-strength fingerprint positioning in wireless LANs
Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems
CRMA: collision-resistant multiple access
MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
Precise indoor localization using PHY layer information
Proceedings of the 10th ACM Workshop on Hot Topics in Networks
Poster: mimicry attacks against wireless link signature
Proceedings of the 18th ACM conference on Computer and communications security
BLINK: a high throughput link layer for backscatter communication
Proceedings of the 10th international conference on Mobile systems, applications, and services
You are facing the Mona Lisa: spot localization using PHY layer information
Proceedings of the 10th international conference on Mobile systems, applications, and services
Survey Cyber security in the Smart Grid: Survey and challenges
Computer Networks: The International Journal of Computer and Telecommunications Networking
SecureArray: improving wifi security with fine-grained physical-layer information
Proceedings of the 19th annual international conference on Mobile computing & networking
CSpy: finding the best quality channel without probing
Proceedings of the 19th annual international conference on Mobile computing & networking
From RSSI to CSI: Indoor localization via channel response
ACM Computing Surveys (CSUR)
Hi-index | 0.00 |
Location distinction is the ability to determine when a device has changed its position. We explore the opportunity to use sophisticated PHY-layer measurements in wireless networking systems for location distinction. We first compare two existing location distinction methods - one based on channel gains of multi-tonal probes, and another on channel impulse response. Next, we combine the benefits of these two methods to develop a new link measurement that we call the complex temporal signature. We use a 2.4 GHz link measurement data set, obtained from CRAWDAD [10], to evaluate the three location distinction methods. We find that the complex temporal signature method performs significantly better compared to the existing methods. We also perform new measurements to understand and model the temporal behavior of link signatures over time. We integrate our model in our location distinction mechanism and significantly reduce the probability of false alarms due to temporal variations of link signatures.