Privacy Risk on Trajectories

This method provides a Privacy Risk Assessment on mobility data, in terms of trajectories or aggregation of trajectories, i.e., locations with frequency of visit and locations with probability of visit.

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  • privacy-libPython

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Additional Info
Field Value
Accessibility Both
AccessibilityMode Download
Area
Attribution requirements
Availability On-Line
Basic rights Download
CreationDate 2017-05-08
Creator Pellungrini, Roberto
Dependencies on Other SW
Distribution requirements
External Identifier
Field/Scope of use Research only
Hosting Environment
IP/Copyrights
License term /Not specified
Owner Pellungrini, Roberto
ProgrammingLanguage Python
RelatedPaper Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale. A data mining approach to assess privacy risk in human mobility data. Journal ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2017
Requirement of non-disclosure (confidentiality mark)
Restrictions on use
Semantic Coverage
Sublicense rights No
Territory of use World Wide
ThematicCluster Human Mobility Analytics
UsageMode Download
input
output
system:type SoBigData.eu: Method
Management Info
Field Value
Author Pratesi Francesca
Maintainer Roberto Pellungrini
Version 1
Last Updated 26 September 2019, 12:27 (CEST)
Created 26 September 2019, 12:27 (CEST)