Abstract: 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.

Nehal A. Mohamed, Mostafa A. El-Azeim and Alaa Zaghloul, “Improving Image Encryption Using 3D Cat Map and Turing Machine” International Journal of Advanced Computer Science and Applications(IJACSA), 7(1), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070129

@article{Mohamed2016,
title = {Improving Image Encryption Using 3D Cat Map and Turing Machine},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070129},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070129},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {1},
author = {Nehal A. Mohamed and Mostafa A. El-Azeim and Alaa Zaghloul}
}