Copyright Protection Method for Vector Map Data

2020 ◽  
pp. 180-202
Author(s):  
Yuliya Vybornova ◽  
Vladislav Sergeev
Keyword(s):  
Copyright Protection ◽  
Vector Map ◽  
Protection Method ◽  
Map Data

A Robust Blind Quantum Copyright Protection Method for Colored Images Based on Owner’s Signature

2017 ◽  
Vol 56 (8) ◽  
pp. 2562-2578 ◽  
Author(s):  
Shahrokh Heidari ◽  
Reza Gheibi ◽  
Monireh Houshmand ◽  
Koji Nagata
Keyword(s):  
Copyright Protection ◽  
Protection Method

A Study on Copyright Protection Method of Web Image Contents

2015 ◽  
Vol 15 (1) ◽  
pp. 37-43
Author(s):  
Yeong-Hun Yi ◽  
Man-Gi Cho ◽  
Seong-Hwan Cho
Keyword(s):  
Copyright Protection ◽  
Protection Method

scholarly journals Selective Encryption Scheme for Vector Map Data using Chaotic Map

2015 ◽  
Vol 18 (7) ◽  
pp. 818-826 ◽  
Author(s):  
N.V. Bang ◽  
Kwang-Seok Moon ◽  
Sanghun Lim ◽  
Suk-Hwan Lee ◽  
Ki-Ryong Kwon
Keyword(s):  
Chaotic Map ◽  
Encryption Scheme ◽  
Selective Encryption ◽  
Vector Map ◽  
Map Data

scholarly journals Vector Map Random Encryption Algorithm Based on Multi-Scale Simplification and Gaussian Distribution

2019 ◽  
Vol 9 (22) ◽  
pp. 4889 ◽  
Author(s):  
Pham ◽  
Ngo ◽  
Bui ◽  
Tran ◽  
Lee ◽  
...  
Keyword(s):  
Gaussian Distribution ◽  
Computation Time ◽  
Geographical Information ◽  
Encryption Algorithm ◽  
Secret Key ◽  
Multi Scale ◽  
Vector Map ◽  
Vector Maps ◽  
Illegal Copying ◽  
Map Data

In recent years, GIS (Geographical Information System) vector maps are widely used in everyday life, science, and the military. However, the production process of vector maps is expensive, and a large volume of vector map data is easily stolen and illegally distributed. Therefore, original providers desire an encryption solution to encrypt GIS vector map data before being stored and transmitted in order to prevent pirate attacks and to ensure secure transmission. In this paper, we propose an encryption algorithm for GIS vector map data for preventing illegal copying, and ensuring secured storage and transmission. Polyline/polygon data of GIS vector maps are extracted to compute a backbone object. The backbone object is then selectively simplified by the multi-scale simplification algorithm in order to determine the feature vertices of the backbone object. The feature vertices of the backbone object are encrypted by the advanced encryption standard and the secret key. Finally, all vertices of the backbone object are randomized by the random Gaussian distribution algorithm to obtain the encrypted GIS vector map. Experimental results show that the entire map is altered completely after the encryption process. The proposed method is responsive to the various GIS vector map data formats, and also provides better security than previous methods. The computation time of the proposed method is also significantly shorter than that of previous methods.

Vector Map Data Compression Using Polyline Feature

2014 ◽  
Vol E97.A (7) ◽  
pp. 1595-1604
Author(s):  
Suk-Hwan LEE ◽  
Won-Joo HWANG ◽  
Jai-Jin JUNG ◽  
Ki-Ryong KWON
Keyword(s):  
Data Compression ◽  
Vector Map ◽  
Map Data
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