Enhancing Steganography by Image Segmentation and Multi-level Deep Hiding

In this paper, we present Modified Deep Hiding Extraction Algorithm (MDHEA) that is a steganography algorithm with Multi-Level Steganography (MLS) and color image segmentation. Through experimental results, MDHEA shows improvement in the results of previous works by securing encrypted secret data ag...

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Bibliographic Details
Published in:International journal of communication networks and information security 2021-04, Vol.13 (1), p.143-150
Main Authors: Al-Ahmad, Alaa, Almousa, Omar Saad, Abuein, Qusai
Format: Article
Language:English
Subjects:
Algorithms
Color imagery
Data integrity
Distortion
Image enhancement
Image quality
Image segmentation
Pixels
Smoothing
Steganography
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Summary:In this paper, we present Modified Deep Hiding Extraction Algorithm (MDHEA) that is a steganography algorithm with Multi-Level Steganography (MLS) and color image segmentation. Through experimental results, MDHEA shows improvement in the results of previous works by securing encrypted secret data against attacks. We use segmentation to choose the appropriate segment, pass it on the cover image, calculate the value of the change at the pixel of the segment and select the best segment and its location in the cover image based on the least effect. MDHEA applies multi-level steganography to hide the confidential data in color images to ensure the integrity of the hidden data and obtain the largest volume of hidden data without causing any distortion in the stego image. To reduce distortion in the cover image due to hiding a large amount of secret data and obtaining a high-quality stego image after hiding the secret data, we implement the Blue Smoothing Algorithm (BSA) to achieve smoothing the largest possible number of pixels in the image.
ISSN:2073-607X
2076-0930