Title :
A Method of Accuracy Reducing for Vector Data Based on Random Function
Author :
Cui Hanchuan ; Xu Hui ; Zhu Changqing
Author_Institution :
Key Lab. of Virtual Geographic Environ. of Minist. of Educ., Nanjing Normal Univ., Nanjing, China
Abstract :
Aiming at the safety problems in the vector data sharing process, a method of accuracy reducing for vector data based on random function is proposed. The characteristics of vector data are analyzed, and then the modifying strength is chosen based on the map scale. Finally the data accuracy is reduced by modifying the coordinate values based on the random function. The experiments show that this method maintains the availability of the vector data when reducing the data accuracy. It achieves the goal of protecting the data while maximizing the data sharing.
Keywords :
random processes; security of data; coordinate value modification; data accuracy reduction; data protection; map scale; random function; safety problem; vector data characteristics analysis; vector data sharing process; Accuracy; Geospatial analysis; Quantization; Safety; Topology; Vectors; Watermarking; accuracy reducing; random function; vector data safety;
Conference_Titel :
Intelligent Systems (GCIS), 2012 Third Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4673-3072-5
DOI :
10.1109/GCIS.2012.88
