With the tremendous increase in the number of smart phones, app stores have been overwhelmed with applications requiring geo-location access to provide their users better services through personalization. Revealing a user's location to these third-party apps, no matter at what frequency, is a severe privacy breach which can have unpleasant social consequences. In order to prevent inference attacks derived from geo-location data, a number of location obfuscation techniques have been proposed in the literature. However, none of them provides any objective measure of privacy guarantee. Some work has been done to define differential privacy for geo-location data in the form of geoindistinguishability with l privacy guarantee. These techniques do not utilize any prior background information about the Points of Interest (PoI s) of a user and apply Laplacian noise to perturb all the location coordinates. Intuitively, the utility of such a mechanism can be improved if the noise distribution is derived after considering some prior information about PoI s.In this paper, we apply the standard definition of differential privacy on geo-location data. We use first principles to model various privacy and utility constraints, prior background information available about the PoI s (distribu--tion of PoI locations in a 1D plane) and the granularity of the input required by different types of apps, to produce a more accurate and a utility maximizing differentially private algorithm for geo-location data at the OS level. We investigate this for a category of apps and for some specific scenarios. This will also help us to verify that whether Laplacian noise is still the optimal perturbation when we have such prior information.

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RFID technique has gathered interest in many areas. But due to high installation cost and comparatively low read range, it has not reached its full potential. In this paper, how ‘conductive’ ink-jet printing technique, as an effective approach for the printing of RFID tags on paper has been studied. Various results characterize paper as a good substrate for the fabrication of sensor modules. Also, the use of implantable RFID tags for bio-monitoring applications is investigated that may open interesting opportunities in telemedicine. Although the technique is exciting enough to be adopted and can revolutionize data fusion but still there are certain unresolved issues that can restrict its use for the development of a ‘ubiquitous’ network for device and body monitoring applications.

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