Robust wireless localization to attacks on access points

Yang, Jie; Chen, Yingying; Lawrence, Victor B.; Swaminathan, V.

doi:10.1109/sarnof.2009.4850372

Cited by 23 publications

(10 citation statements)

References 16 publications

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“…Lateration approaches are the most common methods for deriving location of wireless device [5], [6], [12]. By estimating the distance from the wireless device to multiple access points, lateration approaches derive the wireless device's location based on least squares methods.…”

Section: A Backgroundmentioning

confidence: 99%

Indoor Localization Using Improved RSS-Based Lateration Methods

Yang

Chen

2009

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

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165

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Abstract-Location estimation is a critical step for many location-aware applications. To obtain location information, localization methods employing Received Signal Strength (RSS) are attestative since it can reuse the existing wireless infrastructure for localization. Among the large class of localization schemes, RSS-based lateration methods have the advantage of providing closed-form solutions for mathematical analysis as compared to heuristic-based localization approaches. However, the localization accuracy of RSS-based lateration methods are significantly affected by the unpredictable setup in indoor environments. To improve the applicability of RSS-based lateration methods in indoors, we propose two approaches, regression-based and correlation-based. The regression-based approach uses linear regression to discover a better fit of signal propagation model between RSS and the distance, while the correlation-based approach utilizes the correlation among RSS in local area to obtain more accurate signal propagation. Our results using both simulation as well as real experiments demonstrate that our improved methods outperform the original RSS-based lateration methods significantly.

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Section: A Backgroundmentioning

confidence: 99%

Indoor Localization Using Improved RSS-Based Lateration Methods

Yang

Chen

2009

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

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165

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“…LLS approach linearises the NLS problem by introducing constraints in the formulation, and obtain a closed-form solution of location estimate [7]. On the other hand, LLS has got less computational complexity.…”

Section: B Linear Least Squares (Lls)mentioning

confidence: 99%

“…We use two representative lateration algorithms: linear least square (LLS) that gives closed-form location estimations, and non-linear least square (NLS) that gives more accurate location estimations by solving an optimization problem [7]. Simulation results demonstrate that using antenna array at MS provides better location estimations compared to single antenna scenario.…”

Section: Introductionmentioning

confidence: 99%

RSS-based indoor positioning accuracy improvement using antenna array in WLAN environments

Attanayake

Rong

2012

2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN)

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Abstract-The interest in utilizing Wi-Fi signals for indoor location estimation purposes has been increased recently due to wide deployment of WLANs. Received signal strength (RSS) based approach has become an attractive candidate for positioning owing to its simplicity and low-complexity, which can be easily implemented in modern wireless devices such as laptops and PDAs. However, the challenging nature of indoor wireless propagation environments provoke time varying location estimations from RSS based positioning algorithms. In this paper, we have shown that this variability of the location estimations can be reduced by introducing an antenna array at the receiving station.In our proposed approach, the variation of the received signal power with respect to time is averaged using a uniform linear antenna array (ULA) at the mobile station. We further explore the impact of number of array elements on the accuracy of the position estimations by using representative set of multilateration algorithms. In the first phase of analysis, we consider uncorrelated Rayleigh fading channels on each antenna element whilst in the second phase, we take into account the fading correlation between antenna elements using the spatial correlation function for two-dimensional (2D) diffuse field. The proposed positioning technique can be integrated into IEEE 802.11 compatible receivers with single-input multiple-output (SIMO) capability, thus be able to use for robust indoor localization purposes.

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“…Such vulnerability to signal strength attacks threatens the localization algorithms' viability for a wide domain of applications using wireless systems. Several previous works [3]- [5] have proposed secure localization algorithms to address the non-cryptographic signal strength attacks. They, however, assume that only a small percentage (less than half) of the landmark readings are under attack.…”

Section: Introductionmentioning

confidence: 99%

Designing Localization Algorithms Robust to Signal Strength Attacks

2010

2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON)

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Abstract-Received Signal Strength (RSS) based localization algorithms are sensitive to a set of non-cryptographic attacks. For example, the attacker can perform signal strength attacks by placing an absorbing or reflecting material around a wireless device to modify its RSS readings. In this work, we first formulate the all-around signal strength attacks, where similar attacks are launched towards all landmarks, and experimentally show the feasibility of launching such attacks. We then propose a general principle for designing RSS-based algorithms so that they are robust to all-around signal strength attacks. To evaluate our approach, we adapt two RSS-based localization algorithms according to our principle and experiment with real attack scenarios. All the experiments show that our design principle can be applied to achieve comparable performance with much better robustness.

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Robust wireless localization to attacks on access points

Cited by 23 publications

References 16 publications

Indoor Localization Using Improved RSS-Based Lateration Methods

Indoor Localization Using Improved RSS-Based Lateration Methods

RSS-based indoor positioning accuracy improvement using antenna array in WLAN environments

Designing Localization Algorithms Robust to Signal Strength Attacks

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