Image secure signcryption scheme using entropy chaotic maps and sigmoid conic curve cryptography

Most current image signcryption methods involve the use of large keys, high computation complexity, and are susceptible to security attacks, which makes it hard to communicate images securely. To overcome these disadvantages, this paper presents an Image Secure Signcryption Scheme by using Entropy Chaotic Maps (ECM) and Sigmoid Conic Curve Cryptography (SCC). The proposed design includes integration of Elliptic Curve Cryptography (ECC) for key generation, Sigmoid Conic Curve Cryptography (SCC) for image encryption and Entropy Chaotic Maps (ECM) for digital signature generation in a single signcryption process. Permutation and diffusion operations are used in the encryption stage to enhance the security of an image, and in the decryption phase to reconstruct the original image and check the authenticity of the image using a signature validation method. The performance is measured by PSNR, MSE, SSIM, SNR, NCC, NAE and histogram analysis. Experimental results show that the proposed scenario achieves a PSNR of 48.5 dB, revealing that the image reconstructed with the proposed scheme has high quality, and it also has better security and robustness than the previous signcryption schemes.