›› 2015, Vol. 28 ›› Issue (10): 18-.

• 论文 • 上一篇    下一篇

基于QR二维码和混沌置乱的数字指纹编码算法

周雄葵,张定会,丁珊   

  1. (上海理工大学 光电信息与计算机工程学院,上海 200093)
  • 出版日期:2015-10-15 发布日期:2015-10-29
  • 作者简介:周雄葵(1988—),男,硕士研究生。研究方向:信息安全。E-mail:zhouxiongkui@163.com

Digital Fingerprint Coding Algorithm Based on QR Codes and Chaotic Scrambling

ZHOU Xiongkui,ZHANG Dinghui,DING Shan   

  1. (School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)
  • Online:2015-10-15 Published:2015-10-29

摘要: 针对能否高效准确地追踪到合谋用户等问题,文中根据二维码具有唯一性和混沌置乱二值图像能降低指纹信息之间的相似度,提出了一种基于QR二维码与混沌置乱的数字指纹编码算法。经实验证明,通过设置Logistic映射的初始值和系数,对指纹信息起到了加密作用,从而提高了指纹信息的安全性;同时,置乱后非法用户与参与合谋用户二维码指纹图像相关度高于80%(与未参与用户相关度为70%~80%),利用相关度来判断用户是否参与合谋,有效提高了追踪合谋用户的精确度。

关键词: 数字指纹, QR二维码, 混沌置乱

Abstract: For efficient and accurate tracking of users in collusion,this paper puts forward a digital fingerprint coding algorithm based on the uniqueness of QR codes and chaotic scrambling binary image which can reduce the similarity between the fingerprint information.Experiments show that by setting the initial value and the coefficient of Logistic mapping,the fingerprint information plays an important role in encryption so as to improve the security of the fingerprint information;the correlation between illegal users and complicity QR code fingerprint images is higher than 80% (and the correlation for the users not involved is 70%~80%).The correlation is used to determine whether the user involves in complicity,thus effectively improving the precision of the tracking users in collusion.

Key words: digital fingerprinting;QR code;chaotic scrambling

中图分类号: 

  • TP309.7