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.
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.
To secure and protect the photos from unfair tactics, the encryption process is used. the advent of the digital era has made it exceedingly easy to hack any data kept on the cloud. Encryption is critical to ensuring communication security, which is a crucial issue. There are numerous photo encryption methods that mostly rely on chaotic logistic maps; however, they have downsides such a small key space and low security. Current analysis introduced experimental results of quantum chaotic cryptosystem,3D-Chaotic map and quantum chaotic logistic map. This paper we measure image encryption parameters are Entropy, structural similarity index measure, combined average changing intensity and net pixel change rate which defines utilization of suitable image encryption approaches. For the cypher and the original image, we quantify the correlation coefficient value in both the horizontal and vertical positions with comparison of all three existing Approach-es performance. The scientific and practical economic results reveal that the quantum chaotic cryptosystem has outstanding performance and in future with utilization of advanced Approaches we can resist various cryptographic attacks.
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.
In this paper, a quantum image encryption scheme is proposed by using the inter–intra bit-level permutation strategy. The image to be encrypted is first represented by a novel enhanced quantum representation model, and then, the intra and inter permutation operations are successively performed on bit planes. The intra bit permutation is achieved by sorting chaotic sequence, and the inter bit permutation is accomplished with qubit XOR operations between the two selected bit planes. The ciphertext image is finally obtained through a chaotic diffusion procedure implemented with a quantum image XOR operation. The XOR operation is realized by controlled- NOT gates, which is controlled by a chaotic sequence generated with a logistic map. The parameters of the logistic map are sensitive, which makes the key space large enough to resist brute-force attack. The proposed scheme not only modifies the pixel positions and gray values but also makes the bit distribution more uniform. The quantum circuits for the proposed encryption algorithm are devised. The simulation results and theoretical analysis show that the proposed method is more efficient than its classical counterpart, and its security is verified by the statistical analysis, keys sensitivity, and key space analysis.
In encryption technology, image scrambling is a common processing operation. This paper proposes a quantum version of the 3D Mobius scrambling transform based on the QRCI model, which changes not only the position of pixels but also the gray values. The corresponding quantum circuits are devised. Furthermore, an encryption scheme combining the quantum 3D Mobius transform with the 3D hyper-chaotic Henon map is suggested to protect the security of image information. To facilitate subsequent processing, the RGB color image is first represented with QRCI. Then, to achieve the pixel-level permutation effect, the quantum 3D Mobius transform is applied to scramble bit-planes and pixel positions. Ultimately, to increase the diffusion effect, the scrambled image is XORed with a key image created by the 3D hyper-chaotic Henon map to produce the encrypted image. Numerical simulations and result analyses indicate that our designed encryption scheme is secure and reliable. It offers better performance in the aspect of key space, histogram variance, and correlation coefficient than some of the latest algorithms.
Safeguarding image confidentiality is a crucial communication concern due to the valuable information that must remain inaccessible to unauthorized users. However, the imminent emergence of quantum computers has introduced pressing security concerns to current cryptography. This paper proposes a quantum-resistant cryptosystem integrating a three-qubit entanglement-based Quantum Key Distribution protocol with a chaotic Henon map to develop an image transmission system resilient to classical and quantum adversaries. This QKD employs bidirectional qubit transmission to entangle three qubits, resulting in a quantum-secured key that is double that of the E91 protocol and demonstrates exceptional eavesdropper detection capabilities via the CHSH inequality violation. A 2D Henon map is utilized to address the intrinsic vulnerabilities related to key size and security in one-dimensional logistic maps. The expanded key generates a more complex sequence employing the Henon map, ensuring the utmost security of the encryption by integrating the chaotic randomness with the cryptographic properties embedded in entanglement. The findings from various security assessments indicate that the proposed encryption is both reliable and effective. It exhibits robust resistance to differential analysis, showing NPCR at 99.6% and UACI near 50%. A colossal 10220 key space thwarts brute-force attempts, while near-zero correlation and uniform pixel-intensity distribution confirm strong statistical security, highlighting the advantages of quantum–classical cryptography protocols.
The recent advances in digital services such as telehealth, video conferencing, military imaging, and video surveillance require highly reliable, secure storage and transmission of multimedia images and video. Specifically, video surveillance systems are commonly adopted for real-time event detection and video analytics. The video captured by video surveillance cameras often holds personal information, which requires privacy protection. Unlike text, digital images and video frames have many special properties, for instance, pixel correlations, textures, and huge size, which results in conventional cryptosystems like AES, data encryption standard (DES), etc., being appropriate for performing image encryption tasks as they possess very low efficiency when the data size is large. Chaotic cryptosystem has recommended a proficient approach for performing multimedia encryption with special characteristics like randomness and dynamic behavior. Though chaotic cryptosystem provides better security, these frameworks are vulnerable to cryptanalytic attacks with high computation machines. Thus, the recent advancement of quantum methodologies for quantum information processing has gained popularity in many fields such as information security, video processing, etc. 204 In this work, an attempt was made to investigate the proficiency of quantum cryptography in the field of secure video surveillance applications. To ensure the privacy of surveillance video, the proposed framework presented a novel Quantum based video cryptosystem for encrypting the digital video frames. Initially, the video frames are converted into quantum qubit frames by processing the pixel values. Next, to guarantee the secrecy of digital video information, the qubit planes are encrypted by utilizing series of quantum gates such as swap gate, controlled not gate, Toffoli gate and Hadamard gates under confusion and diffusion phases. The secrecy of digital video frames is reinforced by utilizing plain image-based quantum chaos for secret key generation. The traditional chaotic maps are quantized to obtain the quantumbased random sequences and these random sequences are further utilized to construct the secret keys for performing encryption and decryption operation. The numerical simulations and security analysis prove that the proposed system ensures secure video surveillance against cryptanalytic attacks. Also, the proposed quantum-based secure video surveillance system has ensured the effectiveness of quantum image processing in real-time video surveillance applications.