计算机工程与应用 ›› 2014, Vol. 50 ›› Issue (17): 110-113.

• 网络、通信、安全 • 上一篇    下一篇

基于人工神经网络的百度地图坐标解密方法

潘伟洲,陈振洲,李兴民   

  1. 华南师范大学 计算机学院,广州 510631
  • 出版日期:2014-09-01 发布日期:2014-09-12

Decryption method of Baidu map’s coordinates based on artificial neural network

PAN Weizhou, CHEN Zhenzhou, LI Xingmin   

  1. School of Computer, South China Normal University, Guangzhou 510631, China
  • Online:2014-09-01 Published:2014-09-12

摘要: 提出了一种针对百度地图坐标加密算法的解密方法,利用百度开放的坐标转换接口获取多组GPS和百度地图坐标对,基于BP神经网络拟合出逆转换函数,利用训练后的BP网络来预测新的百度坐标所对应的GPS坐标。实验结果证明,该方法得到的GPS坐标与实际的GPS坐标较为接近,因而可以达到较为理想的解密结果。

关键词: 人工神经网络, 百度地图, 全球定位系统(GPS), 反向传播(BP), 解密

Abstract: This paper presents a decryption method of Baidu map’s coordinates. A converting interface from GPS coordinates to Baidu map’s coordinates given by Baidu is utilized to get pairs of GPS-Baidu coordinates. The inverse converting function is fitted based on BP neural network. The trained BP network is used to predict GPS coordinates corresponding to some new Baidu coordinates. Experimental result demonstrates that the converted GPS coordinate given by this method is closed to the real GPS coordinate. Hence the decrypted result is ideal.

Key words: artificial neural network, Baidu map, Global Positioning System(GPS), Back Propagation(BP), decryption