Big Data is a common term referring to a data revolution in information technology that makes it easy to collect, store and analyze user data online at relatively low costs. In simpler words, any human activity using technology leaves a ‘digital exhaust’ or a trace data, a footprint. Broadly speaking, the big pool of all these collected footprints is called Big Data. However, it’s not just a collection of these footprints but it also contains various other information like weather, train information, payments, etc. Generally these footprints may not have any apparent or obvious meaning, but they start to make sense when combined with other recorded datasets. This information could be processed using powerful analytic tools to give greater meaning and context to it while also enabling the system to ‘predict’ the unknown or missing information in the dataset. Today, we are already surrounded by a sea of ubiquitous sensors (sensors on your phones, punching access cards or swiping credit cards, etc). With each advancement, like the advent of the Internet of Things, coupled with the ‘smartphone revolution’ linking more and more information to your social media accounts, it is getting easier to gather more information and make sense of it. In this paper we discussed pseudonymization and privacy by design as the processing of personal data in such a way that the data can no longer be attributed to a specific data subject without the use of additional information.

Ubiquitous, Pseudonymization, privacy by design

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