X-BAND : Expiration-band for anonymizing varied data streams
- Submitting institution
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University of the West of Scotland
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 13118201
- Type
- D - Journal article
- DOI
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10.1109/JIOT.2019.2955435
- Title of journal
- IEEE Internet of Things Journal
- Article number
- 8910431
- First page
- 1438
- Volume
- 7
- Issue
- 2
- ISSN
- 2327-4662
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2019
- URL
-
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- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper proposes X-BAND algorithm that utilizes a novel expiration-band mechanism for handling varied data streams to achieve efficient anonymization, and it introduces weighted distance function for X-BAND to reduce missingness of published data. Experiment on real datasets shows that X-BAND is effective and efficient – it demonstrated 5% to 11% and 1% to 3% less information loss on real datasets. This work has successfully led knowledge transfer partnership on indoor air quality monitoring for processing IoT sensory data.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -