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privacy-itsa's Introduction

ITSA

Incremental Trajectory Stream Anonymizer (ITSA)

Publication:

Khalil Al-Hussaeni, Benjamin C.M. Fung, William K. Cheung, Privacy-preserving trajectory stream publishing, Data & Knowledge Engineering, Volume 94, Part A, November 2014, Pages 89-109, ISSN 0169-023X,

@article{AFC14dke, author = "K. Al-Hussaeni and B. C. M. Fung and W. K. Cheung", title = "Privacy-Preserving Trajectory Stream Publishing", journal = "Data & Knowledge Engineering (DKE)", volume = "94", number = "A", pages = "89-109", month = "November", year = "2014", }

Disclaimer:

The source code is shared to the research community as copyrighted freeware for research purpose only. The authors own the copyright of the source code. The freeware is provided as-is with no warranty or support. We do not take any responsibility for any damage, loss of income, or any problems you might experience from using our software. If you have questions, you are encouraged to consult the paper and the source code. If you find our software useful, please cite our paper above.

Data sets:

Metro data set: http://dmas.lab.mcgill.ca/fung/pub/MetroDataSet.txt.

MSNBC data set: http://archive.ics.uci.edu/ml/datasets.html

Oldenburg generator: http://iapg.jade-hs.de/personen/brinkhoff/generator/

The software was developed by Khalil Al-Hussaeni under the supervision of Benjamin C. M. Fung at the McGill Data Mining and Security Lab. It is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives License. Please refer to LICENSE.txt for details.

Copyright 2014 McGill University. All rights reserved.

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