A Clustering Approach for Protecting GIS Vector Data
- Submitting institution
-
University of Central Lancashire
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 30590
- Type
- E - Conference contribution
- DOI
-
10.1007/978-3-319-19069-3_9
- Title of conference / published proceedings
- CAiSE: International Conference on Advanced Information Systems Engineering
- First page
- 133
- Volume
- 9097
- Issue
- -
- ISSN
- 0302-9743
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- 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
-
1
- Research group(s)
-
-
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The availability of Geographic Information System (GIS) data has increased in recent years, with an increased need to prevent its unauthorized use. One way of protecting this type of data is by embedding within it a digital watermark. In this paper, we build on previous work on watermarking vector map data, to improve the robustness to (unwanted) modifications to the maps that may prevent the identification of the rightful owner of the data. More specifically, we address the simplification (removing some vertices) and interpolation (adding new vertices) modifications by exploiting a particular property of vector data called a bounding box.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -