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dr tech

Amazon's Vector power smart meter deal puts 'how you live your life' on web giant's ser... - 0 views

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    ""This is all identifiable in the smart meter data - it has literally your entire the pattern of life and behaviour through just monitoring where you live and what you do in your home." Vector and AWS say the data is anonymised and cannot be linked back to customers. Privacy advocates dispute that, because the way some customers use power in certain locations will easily identify them. For the companies, it's a tightrope: the more anonymous the data is made, the less value it has overall."
dr tech

NHS coronavirus app: memo discussed giving ministers power to 'de-anonymise' users | Wo... - 0 views

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    "A draft government memo explaining how the NHS contact-tracing app could stem the spread of the coronavirus said ministers might be given the ability to order "de-anonymisation" to identify people from their smartphones, the Guardian can reveal. The health secretary, Matt Hancock, announced on Sunday that the UK planned to introduce an app that would enable people who developed Covid-19 symptoms to "anonymously" alert other users to whom they had been in close proximity. "All data will be handled according to the highest ethical and security standards, and would only be used for NHS care and research," he said."
dr tech

'Anonymised' data can never be totally anonymous, says study | Technology | The Guardian - 0 views

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    ""Anonymised" data lies at the core of everything from modern medical research to personalised recommendations and modern AI techniques. Unfortunately, according to a paper, successfully anonymising data is practically impossible for any complex dataset."
dr tech

Riding with the Stars: Passenger Privacy in the NYC Taxicab Dataset - Research - 0 views

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    "The most well-documented of these deals with the hash function used to "anonymize" the license and medallion numbers. A bit of lateral thinking from one civic hacker and the data was completely de-anonymized. This data can now be used to calculate, for example, any driver's annual income. More disquieting, though, in my opinion, is the privacy risk to passengers. With only a small amount of auxiliary knowledge, using this dataset an attacker could identify where an individual went, how much they paid, weekly habits, etc. I will demonstrate how easy this is to do in the following section."
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