Near-Rand: Ofuscación Basada en Ruido de la Ubicación Usando Puntos Aleatorios Cercanos (Near-Rand: Noise-based Location Obfuscation Based on Random Neighboring Points)

Mayra Alejandra Zurbarán (, Karen Ávila (, Pedro Wightman (, Michael Fernández (

1Universidad del Norte
2Universidad del Nombre

This paper appears in: Revista IEEE América Latina

Publication Date: Nov. 2015
Volume: 13,   Issue: 11 
ISSN: 1548-0992

In recent years Location-Based Information Systems have increased its popularity in the market of mobile applications, however, due to the ability of smartphones and similar devices to estimate location in real time using GPS or through network providers; it is critical to implement techniques to protect such sensitive information while still make it available to the service provider. This paper presents Near-Rand, a new random noise-based location obfuscation technique. This algorithm generates random points around the real location of the user within a neighbor-size squared area and calculates the n nearest points average to the user's location giving as result an obfuscated point. Compared to Pinwheel, another noise-based obfuscation mechanism, it shows a similar performance against Exponentially Moving Average-based filtering attacks, while being able to use non-uniformly distributions for random points.

Index Terms:
location obfuscation, location privacy, noise filter, exponential moving average   

Documents that cite this document
This function is not implemented yet.

[PDF Full-Text (610)]