A decentralised approach to privacy preserving trajectory mining

Volume: 102, Pages: 382 - 392
Published: Jan 1, 2020
Abstract
Large volumes of mobility data is collected in various application domains. Enterprise applications are designed on the notion of centralised data control where the proprietary of the data rests with the enterprise and not with the user. This has consequences as evident by the occasional privacy breaches. Trajectory mining is an important data mining problem, however, trajectory data can disclose sensitive location information about users. In...
Paper Details
Title
A decentralised approach to privacy preserving trajectory mining
Published Date
Jan 1, 2020
Volume
102
Pages
382 - 392
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