Expectation-Maximization Tensor Factorization for Practical Location Privacy Attacks
Location privacy attacks based on a Markov chain model have been widely studied to de-anonymize or de-obfuscate mobility traces. An adversary can perform various kinds of location privacy attacks using a personalized transition matrix, which is trained for each target user. However, the amount of tr...
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| Format: | Article |
| Language: | English |
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Sciendo
2017-10-01
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| Series: | Proceedings on Privacy Enhancing Technologies |
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| Online Access: | https://doi.org/10.1515/popets-2017-0042 |