首页    期刊浏览 2024年12月12日 星期四
登录注册

文章基本信息

  • 标题:AN EFFICIENT COLOR IMAGE ENCRYPTION SCHEME BASED ON COMBINATION OF HILL CIPHER AND CELLULAR NEURAL NETWORK
  • 本地全文:下载
  • 作者:Azza A. Abdo ; Hanaa F. Morse ; Maissa A. El-Mageed
  • 期刊名称:Indian Journal of Computer Science and Engineering
  • 印刷版ISSN:2231-3850
  • 电子版ISSN:0976-5166
  • 出版年度:2020
  • 卷号:11
  • 期号:2
  • 页码:112-120
  • DOI:10.21817/indjcse/2020/v11i2/201102034
  • 出版社:Engg Journals Publications
  • 摘要:This paper presents an enhancement of Hill cipher-based image encryption scheme bydeployment of cellular neural network. Initial secret values are generated using cellular neural network tobe used in image diffusion with hill matrix. Our proposed scheme is compared with using Hill cipheralgorithm without depending on random grid cellular neural network as an image encryption scheme.Using Hill cipher and cellular neural network to encrypt image increases the security of secret images withlossless image encryption. Experimental results demonstrate the efficiency of the scheme.
  • 关键词:Image Encryption; Hill Cipher; CNN
国家哲学社会科学文献中心版权所有