Novel Secure Hybrid Image Steganography Technique Based on Pattern Matching

Attoui, Hamza; Shehzad, Danish; Sarfraz, Muhammad Shahzad; Habib, Usman; Shafi, Numan

doi:10.3837/tiis.2021.03.013

Cited by 6 publications

(1 citation statement)

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“…This approach utilized the idea of performing random insertion and choosing a pixel from a host image. In [19], a novel hybrid technique named Compressed Encrypted Data Embedding (CEDE) was presented. In this method, the confidential data were initially compressed with the Lempel-Ziv-Welch (LZW) compressing method.…”

Section: Introductionmentioning

confidence: 99%

Huffman Encoding with White Tailed Eagle Algorithm-based Image Steganography Technique

Alkhliwi

2023

Eng. Technol. Appl. Sci. Res.

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Since the Internet is a medium for transporting sensitive data, the privacy of the message transported has become a major concern. Image steganography has become a prominent tool for hiding data to ensure privacy during transfer. An efficient steganography system is essential to accomplish the best embedding capacity and maintain the other parameters at a satisfying level. Image encryption systems provide a secure and flexible system to maintain the privacy of image conversion and storage in the transmission system. Many existing image steganography methods can be attacked by various techniques, or do not support many image formats for embedding. To resolve these shortcomings, this study presents the Huffman Encoding with White Tailed Eagle Algorithm-based Image Steganography (HEWTEA-IS) technique, aiming to achieve secrecy with no compromise in image quality. The HEWTEA-IS method uses Discrete Wavelet Transform (DWT) for the decomposition of images into different subbands, and Huffman encoding to determine the embedding bits on the decomposed blocks and offer an additional layer of security. Moreover, the WTEA resolves the problem of imperceptibility by identifying the optimal probable position in the cover image for embedding secret bits. The proposed algorithm was simulated and examined in terms of different measures, and an extensive experimental analysis ensured that it is superior to other methods in several aspects.

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Section: Introductionmentioning

confidence: 99%

Huffman Encoding with White Tailed Eagle Algorithm-based Image Steganography Technique

Alkhliwi

2023

Eng. Technol. Appl. Sci. Res.

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A Comprehensive Study of Digital Image Steganographic Techniques

et al. 2023

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Steganography surpasses other mechanisms of securing data from potential threats. The modern digital arena calls for robust information hiding techniques and, thus, it has always been a flash point for researchers and academicians. Nowadays, transmission is susceptible to numerous hacks while sharing secret information through typical correspondence channel. Accordingly, everybody needs the classification, respectability, and realness of his or her privileged information. Particularly, different techniques are used to take on these security issues like advanced declaration, computerized mark, and cryptography. Nevertheless, these strategies alone cannot be negotiated. Steganography is a revolution where current information compression, data hypothesis, spread range, and cryptography advancements are integrated to meet the requirements for protection of data over the Internet. This study investigates and critically analyses various existing cover steganography techniques and identifies the valuable region that everyone can be benefited. Moreover, we present a comprehensive overview of the fundamental concepts with in the domain of the steganographic methods and steganalysis. These systems have been depicted in numerous areas of the steganography such as spatial space, transform domain, and adaptive space. Moreover, each space has its particular traits. A few regularly involved techniques for improving the steganographic security and upgrading steganalysis capacity are elaborated, summed up; and conceivable examination patterns are talked about. We also systematically separate different methodologies in our review and show their pros and cons, qualities, challenges and significance.INDEX TERMS Steganography, data concealing, cover objects, image quality assessment metrics.

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