Quantum image cryptography based on continuous chaotic maps

Farhan Musanna

Sakshi Patel, V Thanikaiselvan, Rengarajan Amirtharajan

Vivek Verma, Sanjeev Kumar

Shilpa M. Satre

Images are important data carriers because, compared to text data, they are harder to transfer or store securely and include higher volumes and redundancies of digital data. Images can be shielded against a variety of risks with security, including eavesdropping and illegal copying and alteration. Because of the potential quantum risk to the existing cryptographic encryption methods and the quick advancement towards the development of quantum computers, quantum image encryption algorithms have recently drawn increasing amounts of attention. The majority of quantum image encryption techniques such as diffusion and scrambling, involve two separate rounds. In this model, the three different chaotic maps are used separately for scrambling the images to determine the performance of the quantum image cryptography with different combination of the model. At first, the hash256 algorithm is used for generating the quantum key and the forward diffusion takes place for diffusing the first pixel to final pixel of the input image information. Then, the three different chaotic maps such as pixel permutation, Chen attractor and Lorenz attractor are used for scrambling the input image. Finally, the bit-level permutation and backward diffusion process are considered for the scrambled image. For evaluating the performance of the quantum image cryptography based on the three different chaotic maps, the NPCR, UACI, Entropy, SSIM, correlation characteristics and histogram analysis are determined. The attained NPCR, UACI, Entropy and SSIM of the CASIA2 dataset for Lorenz attractor are improved than the pixel permutation and Chen attractor. Thus, from the attained values, the Quantum Image Cryptography Based on Continuous Chaotic Map such as Lorenz attractor performs better for the statistical and differential analysis than the other chaotic maps.

Deepak Vagish K, C Rajakumaran, R. Kavitha

Shilpa M. Satre, Bharti Joshi

Encryption is a vital tool for safeguarding photos from unauthorized access. The ease of storing data in the cloud has come with a downside: increased vulnerability to hacking. Securing communication is paramount in today's digital world, and encryption is essential for achieving this. Many photo encryption techniques hinge on chaotic logistic maps. Basically, two aspects of chaotic maps Continuous chaotic map and discrete chaotic map. This proposal defines utilization of Quantum cryptography-based Image encryption technique by using pixel permutation. The standard algorithms and procedures used by classical cryptography, such as key exchange methods for secrecy and public-key encryption techniques for digital signatures, are delivered on a regular basis to fulfill these obligations. They are simple to manipulate using cutting-edge technology, but they have some drawbacks when it comes to real-time communication security assurance phases. The reliability of classical cryptography is limited to Scheming. In classical cryptography, the key size is in a somewhat reduced form. Therefore, it is unknown how long the algorithm will last. Hackers can use it to take screenshots of the encrypted data, which they can subsequently use to carry out other immoral tasks. Numerous cryptographic tasks may be accomplished with quantum cryptography. Since encrypted data cannot be copied or read in the quantum state, unethical communication practices are reduced. Passive attacks are unfeasible due to the huge key space that quantum communication may exploit. To enhance the security level, we used pixel permutation model in discreate chaotic map Gingerbreadman map.