Location sensing and privacy in a context-aware computing environment

By Asim Smailagic, David (Ku) Kogan. IEEE wireless communications, 2002

377 citations recorded by the source corpus.

Subfields: Computer Science Applications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e3f7a8e985f9c9ca947260f7bdf442740454dc0d

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In Computer Science Applications

In Computer Vision and Pattern Recognition

In Electrical and Electronic Engineering

Citations in the corpus

Wireless Sensor Network Security: A Survey (2006, background): “In [23], [24], [62], [71], three main approaches are proposed:”
Survey of Wireless Indoor Positioning Techniques and Systems (2007, methodology): “There are several other location systems using WLAN [7], [51]–[54].”
ArrayTrack: A Fine-Grained Indoor Location System (2011, positive): “There are two main lines of work using RSS; the first, pioneered by RADAR [2, 3] builds “maps” of signal strength to one or more access points, achieving an accuracy on the order of meters [23, 30].”
On indoor position location with wireless LANs (2002, methodology): “This method is used in [9] along with training and interpolation to improve accuracy.”
WLAN location determination via clustering and probability distributions (2003, background): “Of these, the class of RF-based systems that use an underlying wireless data network [4, 20, 14, 5, 13, 10], such as 802.”
A Survey on Wireless Sensor Network Security (2009, background): “Four approaches have been proposed by researchers in this direction [31,33, 72,68] for WSNs.”
Modeling of the TOA-based distance measurement error using UWB indoor radio measurements (2006, positive): “Next generation corporate WLAN networks also utilize location-based techniques to improve security [2] and privacy [ 3 ].”
The Horus location determination system (2008, methodology): “The Aura system proposed in [ 12 ] uses two techniques: pattern matching (PM) and triangulation, mapping and interpolation (TMI).”
The new Casper: query processing for location services without compromising privacy (2006, neutral): “, context-aware computing [Smailagic and Kogan 2002] and sensor networks [Gruteser et al.”
Modeling of indoor positioning systems based on location fingerprinting (2004, methodology): “Other advanced algorithms such as neural networks [19] and Bayesian modeling [20] have been introduced for indoor positioning systems to determine the relationship between samples of RSS and the location fingerprint in the radio map.”
Adaptive Temporal Radio Maps for Indoor Location Estimation (2005, background): “In this section, we describe our experimental setup and the noisy characteristics of wireless channel which makes the problem of location determination a challenging task.”
A survey of indoor positioning systems for wireless personal networks (2009, background): “1) Security and Privacy: Security and privacy [ 24 ]-[28] are important issues for IPSs in PNs, because PNs focus on the needs of users.”
Bayesian indoor positioning systems (2005, background): “Gathering extensive training data and the requisite physical measures of location (“profiling”) involves a steep upfront cost and deployment effort ([ 22 ]).”
A system for LEASE: location estimation assisted by stationary emitters for indoor RF wireless networks (2004, methodology): “The complexity of building the model was identified in [5, 20].”
The Horus WLAN location determination system (2005, background): “It is currently implemented in the context of 802.11 wireless LANs [25].”
Enhancing Location Privacy in Wireless LAN Through Disposable Interface Identifiers: A Quantitative Analysis (2003, background): “Furthermore, researchers have determined the location of a client with up to 1m accuracy by collecting signal measurements from multiple access points1 and by applying signal processing algorithms that take into account the propagation characteristics of the environment [3,10,23,33].”
The limits of localization using signal strength: a comparative study (2004, background): “11 and signal strength are closely related to ours [10], [11], [12], [13], [14], [15], [16], [17].”