A clustering approach for protecting GIS vector data

Ahmed Abubahia; Mihaela Cocea

doi:10.1007/978-3-319-19069-3_9

A clustering approach for protecting GIS vector data

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The availability of Geographic Information System (GIS) data has increased in recent years, as well as the 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 our 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 from GIS vector data) and interpolation (adding new vertices to GIS data) modifications by exploiting a particular property of vector data called a bounding box. In addition, we experiment with bigger maps to establish the feasibility of the approach for larger maps.

Original language	English
Title of host publication	Advanced information systems engineering
Subtitle of host publication	27th International Conference, CAiSE 2015, Stockholm, Sweden, June 8-12, 2015, proceedings
Publisher	Springer
Pages	133-147
Volume	9097
ISBN (Electronic)	9783319190693
ISBN (Print)	9783319190686
DOIs	https://doi.org/10.1007/978-3-319-19069-3_9
Publication status	Published - 2015
Event	27th international conference on advanced information systems engineering (CAiSE'15) - Department of Computer and Systems Sciences (DSV), Stockholm University, Stockholm, Sweden Duration: 8 Jun 2015 → 12 Jun 2015

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer

Conference

Conference	27th international conference on advanced information systems engineering (CAiSE'15)
Country/Territory	Sweden
City	Stockholm
Period	8/06/15 → 12/06/15

Keywords

clustering
vector map data
Geographical information systems
data protection
digital copyright

Access to Document

10.1007/978-3-319-19069-3_9

http://link.springer.com/chapter/10.1007%2F978-3-319-19069-3_9

Cite this

@inproceedings{4565906d8cd04b19b1fa260600abbc4e,

title = "A clustering approach for protecting GIS vector data",

abstract = "The availability of Geographic Information System (GIS) data has increased in recent years, as well as the 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 our 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 from GIS vector data) and interpolation (adding new vertices to GIS data) modifications by exploiting a particular property of vector data called a bounding box. In addition, we experiment with bigger maps to establish the feasibility of the approach for larger maps.",

keywords = "clustering, vector map data, Geographical information systems, data protection, digital copyright",

author = "Ahmed Abubahia and Mihaela Cocea",

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volume = "9097",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "133--147",

booktitle = "Advanced information systems engineering",

note = "27th international conference on advanced information systems engineering (CAiSE'15) ; Conference date: 08-06-2015 Through 12-06-2015",

}

Abubahia, A & Cocea, M 2015, A clustering approach for protecting GIS vector data. in Advanced information systems engineering: 27th International Conference, CAiSE 2015, Stockholm, Sweden, June 8-12, 2015, proceedings. vol. 9097, Lecture Notes in Computer Science, Springer, pp. 133-147, 27th international conference on advanced information systems engineering (CAiSE'15), Stockholm, Sweden, 8/06/15. https://doi.org/10.1007/978-3-319-19069-3_9

A clustering approach for protecting GIS vector data. / Abubahia, Ahmed; Cocea, Mihaela.
Advanced information systems engineering: 27th International Conference, CAiSE 2015, Stockholm, Sweden, June 8-12, 2015, proceedings. Vol. 9097 Springer, 2015. p. 133-147 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A clustering approach for protecting GIS vector data

AU - Abubahia, Ahmed

AU - Cocea, Mihaela

PY - 2015

Y1 - 2015

N2 - The availability of Geographic Information System (GIS) data has increased in recent years, as well as the 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 our 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 from GIS vector data) and interpolation (adding new vertices to GIS data) modifications by exploiting a particular property of vector data called a bounding box. In addition, we experiment with bigger maps to establish the feasibility of the approach for larger maps.

AB - The availability of Geographic Information System (GIS) data has increased in recent years, as well as the 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 our 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 from GIS vector data) and interpolation (adding new vertices to GIS data) modifications by exploiting a particular property of vector data called a bounding box. In addition, we experiment with bigger maps to establish the feasibility of the approach for larger maps.

KW - clustering

KW - vector map data

KW - Geographical information systems

KW - data protection

KW - digital copyright

U2 - 10.1007/978-3-319-19069-3_9

DO - 10.1007/978-3-319-19069-3_9

M3 - Conference contribution

SN - 9783319190686

VL - 9097

T3 - Lecture Notes in Computer Science

SP - 133

EP - 147

BT - Advanced information systems engineering

PB - Springer

T2 - 27th international conference on advanced information systems engineering (CAiSE'15)

Y2 - 8 June 2015 through 12 June 2015

ER -

A clustering approach for protecting GIS vector data

Abstract

Publication series

Conference

Keywords

Access to Document

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Cite this