A local encryption method for large-scale vector maps based on spatial hierarchical index and 4D hyperchaotic system-Reference-Cited by-同舟云学术

A local encryption method for large-scale vector maps based on spatial hierarchical index and 4D hyperchaotic system

Published:2024-07-22 Issue: Volume: Page:1-29
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Ding Chen¹,Tang Jianbo¹²,Deng Min¹²³,Liu Huimin¹²,Mei Xiaoming¹

Affiliation:

1. Department of Geo-Informatics, Central South University, Changsha, China

2. Hunan Geospatial Information Engineering Technology Research Center, Changsha, China

3. School of Geography and Environment, Jiangxi Normal University, Nanchang, China

Funder

Funds of the Science and Technology Innovation Program of Hunan Province

National Key Research and Development Program of China

National Natural Science Foundation of China

Hunan Provincial Natural Science Foundation of China

Third Batch of Short-term Projects for Introducing Innovative Leading Talents in Jiangxi Province’s ‘Double Thousand Plan’

Graduate Innovation Project of Central South University

Fundamental Research Funds for the Central Universities of Central South University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2024.2381225

Reference56 articles.

1. Encryption algorithm using polyline simplification for GIS vector map;Bang N.;Journal of Korea Multimedia Society,2016

2. Beckmann, N., et al., 1990. The R*-tree: an efficient and robust access method for points and rectangles. In: Proceedings of the 1990 ACM SIGMOD international conference on Management of data. Presented at the SIGMOD 90: SIGMOD’90, Atlantic, NJ, USA. ACM, 322–331.

3. Bertino, E., Damiani, M.L., and Momini, D., 2004. An access control system for a Web map management service. In: Presented at the 14th international workshop research issues on data engineering: web services for e-commerce and e-government applications, 2004. Proceedings, 33–39.

4. Bloom, C., et al., 2017. Self-driving cars and data collection: Privacy perceptions of networked autonomous vehicles. In: Presented at the thirteenth symposium on usable privacy and security (SOUPS 2017), 357–375.

5. The control of chaos: theory and applications;Boccaletti S.;Physics Reports,2000