Chaotic Map Based Image Encryption Research Articles

CHAOS BASED CRYPTOGRAPHY AND RECTANGULAR SHAPE BASED STEGANOGRAPHY TECHNIQUE USING LSB

Multimedia means text, image, audio or video file and transferring multimedia files through the internet are noticeable one. Multimedia securing techniques are additionally used to protect the file. Securing multimedia image file is difficult by using formal encryption techniques such as AES, RSA because of high correlation between pixels. For encryption, chaotic map with XOR function is used and to provide double protection, steganography technique is used. After the encryption, encrypted image is hidden into the cover image file using LSB-steganography technique. For that, from the cover image, the rectangular positioned pixel values are selected and the encrypted image values are hidden into the selected rectangular positioned pixel locations of the cover file. Embedded image i.e., stego image is transmitted to the recipient through the internet and the reversal process is carried over at the retriever side. The performance of this proposed algorithm is analyzed by using many numerical measures such as NPCR, UACI and PSNR. These values are calculated and compared with existing methods. The obtained average NPCR, UACI and PSNR values are 99.8004%, 37.6773% and 46.41 respectively. From these statistical values, compared to existing methods, the projected work provides better result. Correlation analysis is also performed and the values are compared between the secret image and the chaotic map encrypted image. From the comparison, it is clear that the chaotic map based image encryption and steganography method provides more security and robustness in the wireless secret image transmission.

A Harris Hawk Optimization with chaotic map based image encryption for multimedia application

Image security plays a vital role in communication networks. Despite advancements in encryption, securing protective image data remains a computationally challenging problem, requiring the use of a secure environment to secure data transmitted from the device through the network. Encryption is essential for safeguarding essential data against unauthorized access or malfunction, especially for images. The contribution of the proposed model is to provide an analytical hybrid Harris Hawk Optimization (HHO) with a chaotic map approach which can be used to improve the overall performance of standard encryption techniques in image-based encrypted communication. Previously, the algorithm computes numerous chaotic Logistic map and an encrypted images, where the pending plain image calculates the session key for the map’s input parameters. Afterwards, encrypted images are presented as hawks and made to work well with HHO. The optimized ciphered image is expressed as a fitness function using correlation coefficients related to nearby pixels. When compared to existing algorithms, the proposed NPCR (99%), UACI (33%), and entropy (7.97) demonstrate superior performance. The proposed hybrid approach outperforms traditional algorithms in terms of security while preserving image quality.

Cryptanalysis of encryption scheme based on compound coupled logistic map and anti-codifying technique for secure data transmission

The aim of this article is to provide cryptanalysis of chaos-based technique based on anti-codifying mechanism. The use of chaos in information security is deemed a secure trace of randomness. Many cryptosystems offer robust security against classical attacks having vulnerability in their structure. Recently, a compound coupled logistic chaotic map-based image encryption scheme was suggested. The encryption structure reveals some security flaws in the implementation. The original model includes input-independent swapping and substitution-based operations. In this work, we have intended a chosen-plaintext attack on a recently offered cryptosystem and suggested an anti-codifying technique for secure data transmission. The simulation and experimental outcomes reveal that the improvement suggestions can resist classical attacks.

A Fibonacci p-code traversing and unified chaotic map-based image encryption algorithm

A Fibonacci p-code traversing and unified chaotic map-based image encryption algorithm

Radix Trie improved Nahrain chaotic map-based image encryption model for effective image encryption process

As the intrinsic features of images include huge size and additional correlation prevailing among pixels, it is tedious to accomplish by using outdated models. The cryptographic features of Chaotic Maps (CM), including early criteria and random nature, aid in designing novel Image Encryption (IE) methods. In this paper, Nahrain Map with Radix Trie-based Image Encryption (NMRTIE) model is proposed to guarantee image encryption that resists known attacks that could be launched during its transmission in the cloud environment. The propounded NMRTIE model includes three essential phases: NCM-based Image Encryption (IE), Radix Trie (RT) based scrambling, and incessant diffusion. Initially, the NCM model uses more than one chaotic function to produce a sequence of keys. The RT model eases scrambling, where the rows and columns' pixels are swapped substantially. Lastly, the propounded diffusion scheme cooperates with NCM to produce key streams for remarkably hastening diffusion and dispersing effect. The propounded NMRTIE model is evaluated, and the results are confirmed based on numerous characteristics. The investigational consequence confirms that the propounded NMRTIE scheme is more appropriate than the associated approaches.

Cryptanalysis and Improvement of a Chaotic Map-Based Image Encryption System Using Both Plaintext Related Permutation and Diffusion.

In theory, high key and high plaintext sensitivities are a must for a cryptosystem to resist the chosen/known plaintext and the differential attacks. High plaintext sensitivity can be achieved by ensuring that each encrypted result is plaintext-dependent. In this work, we make detailed cryptanalysis on a published chaotic map-based image encryption system, where the encryption process is plaintext Image dependent. We show that some designing flaws make the published cryptosystem vulnerable to chosen-plaintext attack, and we then proposed an enhanced algorithm to overcome those flaws.

A novel parallel image encryption algorithm based on hybrid chaotic maps with OpenCL implementation

Since chaotic maps have the excellent properties of unpredictability, ergodicity and sensitivity to their parameters and initial values, they are quite suitable for generating chaotic sequences for securing communication systems and are also especially useful for securing images, and a lot of chaotic map-based image encryption algorithms have been proposed. But some existing image encryption algorithms were proved that their security, encryption efficiency or computational speeds are not quite satisfactory for practical applications. Some of them using only one type of chaotic system may suffer from low key space, and some others using two or more types of chaotic system may suffer from high computational overheads. In this paper, based on the classic 1D logistic map, a 2D one-coupling logistic dynamics system and OpenCL, a novel parallel image encryption algorithm HCMO is proposed. Our algorithm consists of a confusion phase and a diffusion phase using four sub-key matrices based on the hybrid logistic dynamics systems, the linear transformation and the enlarging operation. In the confusion phase, the image’s pixel positions are first scrambled by performing row-wise and column-wise permutation operations using two sub-key matrices; then, in its diffusion phase, both the bit XOR operation and the bit cyclic shifting are applied onto the scrambled intermediate image matrix using the other two sub-key matrices. In order to reduce the whole encrypting execution time, we speed up our HCMO on an OpenCL’s heterogeneous and parallel characteristics. Compared to the implementation of Vihari’s algorithm and some other chaotic map-based algorithms referred in this paper with the OpenCL-based implementation on the CPU and on the GPU, respectively, our algorithm’s simulation demonstrates remarkable improvement in the operational speedup, and the experimental result analyses have also shown that HCMO has a higher-level security than some other referred algorithms.

Chaos triggered image encryption - a reconfigurable security solution

Recently, diverse types of chaotic image encryption algorithms have been explored to meet the high demands in realizing secured real time image sharing applications. In this context, to achieve high sensitivity and superior key space, a multiple chaotic map based image encryption algorithm has been proposed. The proposed algorithm employs three-stage permutation and diffusion to withstand several attacks and the same is modelled in reconfigurable platform namely Field Programmable Gate Array (FPGA). The comprehensive analysis is done with various parameters to exhibit the robustness of the proposed algorithm and its ability to withstand brute-force, differential and statistical attacks. The synthesized result demonstrates that the reconfigurable hardware architecture takes approximately 0.098 ms for encrypting an image of size 256 × 256. Further the resource utilization and timing analyzer results are reported.

A new chaotic map based image encryption schemes for several image formats

This paper proposes several image encryption schemes for popular image formats as Joint Photographic Experts Group (JPEG), Graphics Interchange Format (GIF), Portable Network Graphics (PNG), and Tagged Image File Format (TIFF). A cross chaotic map proposed based on Devaney's theory and dynamic block dividing of the 3D baker using the cross chaotic map are used for diffusion and permutation in encryption. Moreover, in order to verify user's identity, authentication is carried out using information hiding based on the cross chaotic function. In our methods, image files syntax and structure are not destructed, and the original image can be recovered lossless. For GIF, it keeps the property of animation successfully. The security test results indicate the proposed methods have high security, and the speed of our algorithm is faster than classical solutions. JPEG, GIF, TIFF and PNG image formats are popular contemporarily. Therefore this paper shows that the prospect of chaotic image encryption is promising.

An Improved Piecewise Linear Chaotic Map Based Image Encryption Algorithm

An image encryption algorithm based on improved piecewise linear chaotic map (MPWLCM) model was proposed. The algorithm uses the MPWLCM to permute and diffuse plain image simultaneously. Due to the sensitivity to initial key values, system parameters, and ergodicity in chaotic system, two pseudorandom sequences are designed and used in the processes of permutation and diffusion. The order of processing pixels is not in accordance with the index of pixels, but it is from beginning or end alternately. The cipher feedback was introduced in diffusion process. Test results and security analysis show that not only the scheme can achieve good encryption results but also its key space is large enough to resist against brute attack.