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Inferring Personal Information From Fitness Data

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Inferring Personal Information From Fitness Data

What can your FitBit tell someone about you? Could it revel your religious affiliation? A mathematicians explores how this is possible in the age of big data and IoT.

· Big Data Zone ·
Free Resource

Fitness monitors reveal more information than most people realize. For example, it may be possible to infer someone’s religious beliefs from their heart rate data.

If you have location data, it’s trivial to tell whether someone is attending religious services. But you could make a reasonable guess from cardio monitoring data alone.

Muslim prayers occur at five prescribed times a day. If you could detect that someone is kneeling every day at precisely those prescribed times, it’s likely they are Muslim. Maybe they just happen to be stretching while Muslims are praying, but that’s less likely.

It should be possible to detect when a person is singing by looking at fitness data. If you find that someone is singing every Sunday morning, it’s likely they are attending a church service. And if someone is consistently singing on Saturday evenings, they may be attending a large church, likely Catholic, which added a Saturday night service. Maybe they just have Saturday evening voice lessons, but attending a church service is more likely.

Maybe you could infer that someone is an observant Jew because they unusually inactive on Saturdays. Of course a lot of people take it easy on Saturdays. But if someone runs, for example, six days a week but not on Saturdays, something you could certainly tell from fitness data, that’s evidence that they may be Jewish. Not proof, but evidence.

All these inferences are fallible, of course. But that’s the nature of most privacy leaks. They don’t usually offer irrefutable evidence, but they update probabilities. One of the contributions of differential privacy is to acknowledge that all personal data leaks at least a little bit of information, and it’s better to acknowledge and control the amount of information leak than to pretend it doesn’t exist.

By the way, if you keep your Fitbit data from revealing your religion, you might reveal it anyway. This is called the Barbara Streisand Effect for reasons explained here. If you take off your Fitbit five times a day, just before the Muslim call to prayer, you’re still giving someone who has access to your data clues to your religious affiliation.

Topics:
big data ,data privacy ,iot data ,data analysis

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