首页    期刊浏览 2024年07月03日 星期三
登录注册

文章基本信息

  • 标题:Improving Image Encryption Using 3D Cat Map and Turing Machine
  • 本地全文:下载
  • 作者:Nehal A. Mohamed ; Mostafa A. El-Azeim ; Alaa Zaghloul
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2016
  • 卷号:7
  • 期号:1
  • DOI:10.14569/IJACSA.2016.070129
  • 出版社:Science and Information Society (SAI)
  • 摘要:Security of data is of prime importance. Security is a very complex and vast topic. One of the common ways to protect this digital data from unauthorized eavesdropping is encryption. This paper introduces an improved image encryption technique based on a chaotic 3D cat map and Turing machine in the form of dynamic random growth technique. The algorithm consists of two main sections: The first does a preprocessing operation to shuffle the image using 3D chaotic map in the form of dynamic random growth technique. The second uses Turing machine simultaneous with shuffling pixels’ locations to diffuse pixels’ values using a random key that is generated by chaotic 3D cat map. The hybrid compound of a 3D chaotic system and Turing machine strengthen the encryption performance and enlarge the key space required to resist the brute force attacks. The main advantages of such a secure technique are the simplicity and efficiency. These good cryptographic properties prove that it is secure enough to use in image transmission systems.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; chaotic 3D cat map; brute force attacks; Dynamic random growth technique; Turing machine; key space
国家哲学社会科学文献中心版权所有