Exploiting vector map properties for GIS data copyright protection

Ahmed Abubahia, Mihaela Cocea

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Geographic Information System (GIS) vector maps have become more widely available, prompting a need to prevent their unauthorized use. This is commonly done through the use of a digital watermark, with many approaches
applying techniques from image map watermarking, without exploiting the particular properties of vector map data. In previous work we showed that using k-medoids clustering and the bounding box property of vector maps in the embedding process leads to increased robustness against simplification (removing vertices from vector data) and interpolation (adding new vertices to the data) attacks, which may distort the watermark and prevent the identification of the map owner. In this paper we show that the advantages of using the bounding box property are maintained even with a different clustering
approach (k-means), and argue that they would hold regardless of the method used for identifying the watermark embedding locations in the map.
Original languageEnglish
Title of host publicationProceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
PublisherIEEE
Pages575 - 582
Number of pages8
ISBN (Electronic)978-1-5090-0163-7, 978-1-5090-0162-0
DOIs
Publication statusPublished - 7 Jan 2016
Event2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI) - Vietri sul Mare, Italy
Duration: 9 Nov 201511 Nov 2015

Conference

Conference2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI)
Country/TerritoryItaly
CityVietri sul Mare
Period9/11/1511/11/15

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