• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

Computer Engineering & Science ›› 2022, Vol. 44 ›› Issue (06): 1030-1036.

• Computer Network and Znformation Security • Previous Articles     Next Articles

An image camouflage encryption method based on vector quantization in cloud storage environment

ZHENG Si-fei,FENG Zi-jing,LIU Cheng-yu,CHEN Ri-qing,LIU Xiao-long   

  1. (College of Computer and Information Sciences,Fujian Agriculture and Forestry University,Fuzhou 350002,China) 
  • Received:2021-01-14 Revised:2021-05-24 Accepted:2022-06-25 Online:2022-06-25 Published:2022-06-17

Abstract: The traditional image encryption methods usually encrypt an original image into a ciphertext image similar to texture or noise. Such ciphertext image is easy to attract the attention of attackers, resulting in a large number of different types of malicious attacks and analysis. In order to improve the security of image storage in cloud environment, this paper proposes a new image camouflage encryption method. Based on vector quantization and discrete wavelet transform, this method adopts the “plaintext-to-plaintext” camouflage en-cryption method, which can not only protect cloud image as traditional encryption method, but also provide additional visual camouflage function. Experimental results show that this method can not only effectively improve the storage efficiency of cloud image, but also has better visual effect and camouflage characteristics. 


Key words: camouflage encryption, vector quantization, image encryption, cloud storage security