The smartphone has taken on the role of a personal assistant, which means that a great amount of the owner’s very important personal data is concentrated in it. It is an ideal target for anyone who wants to collect user data. Applications collect sensitive data, often without users’ knowledge. The use of poorly controlled computing libraries may lead to unwanted, or even illegal, data collection.
Connected Objects/Data Flows
Connected objects generate data flows, sometimes continuously. To make this data anonymous, specific procedures need to be put in place and technology different from traditional data anonymization solutions must be used.
Cross-referencing data from connected objects in the home makes it possible to learn a lot about a household. Seemingly harmless data collection can lead to unexpected, disastrous consequences for a brand’s image.
With connected sensors multiplying in urban settings, operators should pay especially careful attention to the privacy of personal data. Urban cameras, license plate readers for parking enforcement, public transit tickets, etc. provide plenty of data that, once cross-referenced, have real potential to provide extensive information on private citizens and must therefore be vigorously protected.
Connected and especially self-driving cars, with all their reservation, direction, and transport assistant applications, are as much a significant source of personal information as the home.
More than any other connected object, wearables channel highly personal information that, if analyzed, could expose important health information.