Abstract
Accurate and trustworthy localization information is crucial to the functionality of a variety of LBS services and applications. However, the infrastructure used for localization, especially indoor localization, is usually vulnerable to signal strength attacks. When under such attacks the localization accuracy usually suffers a great deal of debasement. In this chapter, we focus on achieving robust wireless indoor localization when signal strength attack present on access points (APs). We first investigate the effects of signal strength attack on indoor localization. Then we designed two attack-resistant algorithms to assure the efficiency and validity of the localization information under signal strength attacks. The algorithms can be used to filter out attacker APs, and can be integrated into existing localization algorithms. We testified the algorithms on ICT’s localization engine with an IEEE 802.11(Wi-Fi) environment. Our experimental results demonstrate that our proposed approach can achieve comparable localization performance when AP under signal strength attacks as compared to normal situations without attack.
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Acknowledgments
This work was supported in part by the National Natural Science Foundation of China (61374214), the Major Projects of Ministry of Industry and Information Technology (2011ZX03005-005), the Electronic Information Industry Development Fund Project of Information Industry Department (2012-380) and Tianjin Binhai New Area Science Little Giant Enterprises Growth Plan (2011-XJR12009), Science and Technology Program of Shenzhen City (JSA201006040186A055).
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Zhang, C., Luo, H., Li, Z., Zhao, F., Deng, L. (2014). A Robust Fingerprinting Localization Algorithm Against Signal Strength Attacks. In: Liu, C. (eds) Principle and Application Progress in Location-Based Services. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-04028-8_4
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DOI: https://doi.org/10.1007/978-3-319-04028-8_4
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