![]() The worst-case scenario in metadata mining involves stalking and harassment – and it’s already happened. People who upload pictures with similar file names and matching lens patterns may be connected socially – or maybe they’ve never met or were at the same public event. Facebook has a patent on technology that identifies people who may know each other by analysing photo metadata and comparing dust and scratches on the camera lens. All of these platforms have the potential to be easy targets for data theft, but for the most part, they’re interested in metadata for use in targeted marketing.ĭata analysis gets smarter every day. An average person, for example, might upload their images to Facebook and Instagram, but also to printing sites to make family photo albums or create holiday cards. The easiest way to identify image-based security risks is to ask where we use, manipulate, and store images. The growth of big data brings risks to another dimension. These data can be useful if you have to find back or sort your pictures or video, but they can create risks by providing a lot of information about you and your behaviour to maleficent people or organisations. However, it also raises privacy and security concerns that many users ignore. Metadata is useful for sorting, cataloguing, and searching among photos (this is why the EXIF standard was defined). ![]()
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