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

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

There are number of images that transmitted through the web for various usages like medical imaging, satellite images, military database, broadcasting, confidential enterprise, banking, etc. Thus, it is important to protect the images confidentially by securing sensitive information from an intruder. The present research work proposes a Hybrid Hyper Chaotic Mapping that considers a3D face Mesh model for hiding the secret image. The model has a larger range of chaotic parameters which are helpful in the chaotification approaches. The proposed system provides excellent security for the secret image through the process of encryption and decryption. The encryption of the secret image is performed by using chaos encryption with hyper hybrid mapping. The hyper hybrid mapping includes enhanced logistic and henon mapping to improve the computation efficiency for security to enhance embedding capacity. In the experiment Fingerprint and satellite image is used as secret image. The secret image is encrypted using a Least Significant Bit (LSB) for embedding an image. The results obtained by the proposed method showed better enhancements in terms of SNR for the 3D Mesh model dataset as 77.85 dB better compared to the existing models that achieved Reversible data hiding in the encrypted domain (RDH-ED) of 33.89 dB and Multiple Most Significant Bit (Multi-MSB) 40 dB. Also, the results obtained by the proposed Hybrid Hyper chaotic mapping showed PSNR of 65.73 dB better when compared to the existing Permutation Substitution and Boolean Operation that obtained 21.19 dB and 21.27 dB for the Deoxyribonucleic Acid (DNA) level permutation-based logistic map.

Hybrid Hyper Chaotic Map with LSB for Image Encryption and Decryption

E-banking gives customers a lot of satisfaction in terms of getting a better service quality; it also gives banks a competitive advantage over the other players in the sector. However, the security of e-banking has received attention due to the fraudulent behaviour of fraudsters; the absence of adequate e-banking security has kept many people away from the service till today. In this paper, a review of the security challenges associated with e-banking has been presented. Equally, the challenges and characteristics of e-banking fraud have been mirrored. This paper also reviewed different types of fraud and attacks detection systems, as well as some preventive measures in place to secure e-banking services. The different techniques and models used for e-banking security were ranked in this study based on an expert opinion. From the results, "Transaction Monitoring" was identified as the most effective model while the worst models based on the respondent's opinions were "Virtual Keyboards", "Browser Protection", and "Device Identification". This paper is organized into sections; the first section introduced the topic of interest in this paper while the second section presented the background of e-banking. The literature review was presented in the third section while a conclusion was presented in the last section of the paper.

E-banking fraud detection: a short review

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

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.

Mohammed Hashim Mahdi

Papers

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

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