The awareness to secure medical data has significantly increased. Steganographic has binged an important topic especially in this area since it has the capability to avoid medical data breach. This paper proposes a new steganography scheme based on Bit Invert System (BIS) using three control random parameters. The random selection process is performed based on Henon Map Function (HMF). In order to increase the security level, affine cipher and Huffman method is used for encryption as well as to minimize the encrypt data prior to the embedding for high payload ability. This integration is effective due to two main reasons: first, checking, and mapping to determine 0- and 1-bits during embedding, and second, segmenting the secret data to track and map every bit in stego image. The results showed that the presented scheme can assure confidentiality and security of the medical data while maintaining the image quality.

Securing Medical Data Transmission Systems Based on Integrating Algorithm of Encryption and Steganography

Digital image steganography survey and investigation (goal, assessment, method, development, and dataset)

https://iopscience.iop.org/article/10.1088/1757-899X/881/1/012120/pdf

Based on IoT Healthcare Application for Medical Data Authentication: Towards A New Secure Framework Using Steganography

Digital image steganography technique based on hiding the secret data behind of cover image in such a way that it is not detected by the human visual system. This paper presents an image scrambling method that is very useful for grayscale secret images. In this method, the secret image decomposes in three parts based on the pixel's threshold value. The division of the color image into three parts is very easy based on the color channel but in the grayscale image, it is difficult to implement. The proposed image scrambling method is implemented in image steganography using discrete wavelet transform (DWT), singular value decomposition (SVD), and sorting function. There is no visual difference between the stego image and the cover image. The extracted secret image is also similar to the original secret image. The proposed algorithm outcome is compared with the existed image steganography techniques. The comparative results show the strength of the proposed technique. 

DWT-SVD Based Image Steganography Using Threshold Value Encryption Method

Recently, the transport massive and secure data are fateful and difficult in communication over the IoT. Due to their widespread use and ease of transmission, images are the most frequent and well-liked multimedia data format. Among the various cryptography methods, chaos-based image cryptography is regarded as the one that is best suitable for picture applications due to its sensitivity to the beginning circumstances and control parameters. Conventional image cryptography techniques have employed confusion and diffusion techniques, but the perfect encrypted image has not yet been produced. Secure image transmission is the main goals in proposed method. Therefore, the new chaos method based on confusion and diffusion method is introduced to secure the image transmission. Generally, the confusion technique is used to produce random numbers for the pixel permutation method. While the random matrix is produced using the diffusion approach. The main idea of the proposed method is to idealize the histogram and information entropy of the ciphered image. The experimental results demonstrated that comparing the suggested strategy to benchmark methods stimulates better results. The experimental result showed that the test of the proposed method encourages outcomes against benchmarked methods.

Based Complex Key Cryptography: New Secure Image Transmission Method utilizing Confusion and Diffusion

https://iopscience.iop.org/article/10.1088/1757-899X/518/5/052002/pdf

Improvement of Image Steganography Scheme Based on LSB Value with Two Control Random Parameters and Multi-level Encryption

High payload image steganography scheme with minimum distortion based on distinction grade value method

The highest priority in the era of information and communication technology is to effectively and accurately hide information when considering steganography. The development of such a system for hiding sensitive messages should not leave any evidence of liability concerning the hidden message. The most critical challenges are the security and capacity issues in the steganography system. Hence, it is necessary to maintain the system's peak-to-noise ratio (PSNR) to make it tangible, imperceptible, and robust. This paper proposed an enhanced steganography system via P single /P double method. The enhanced system aims to increase the capacity and security of the existing problems. Three main stages are used to achieve the system's objectives, namely: 1) data preparation stage passing by embedding stage, 2) evaluation stage, and 3) the extracting stage. The enhanced method is evaluated using the standard datasets, which include Lena, Peppers, Baboon, and Cameraman. The obtained results of PSNR (78.159) verified the worthiness of the proposed method.

Hiyam Nadhim Khalid

Papers

Improvement of Image Steganography Scheme Based on LSB Value with Two Control Random Parameters and Multi-level Encryption

High payload image steganography scheme with minimum distortion based on distinction grade value method

A Steganography Embedding Method Based on P single / P double and Huffman Coding

Artificial Neural Network-Based Fingerprint Classification and Recognition