Edge based image steganography with variable threshold

Mukherjee, Srilekha; Sanyal, Goutam

doi:10.1007/s11042-018-6975-4

Cited by 15 publications

(2 citation statements)

References 34 publications

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“…In 2019, Mukherjee and Sanyal [ 57 ] have presented an edge based image steganography method with a variable threshold. The edges of an image have been detected by the Sobel edge detector with respect to the threshold key.…”

Section: Literature Surveymentioning

confidence: 99%

Double layer security using crypto-stego techniques: a comprehensive review

et al. 2021

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Recent advancement in the digital technology and internet has facilitated usage of multimedia objects for data communication. However, interchanging information through the internet raises several security concerns and needs to be addressed. Image steganography has gained huge attention from researchers for data security. Image steganography secures the data by imperceptibly embedding data bits into image pixels with a lesser probability of detection. Additionally, the encryption of data before embedding provides double-layer protection from the potential eavesdropper. Several steganography and cryptographic approaches have been developed so far to ensure data safety during transmission over a network. The purpose of this work is to succinctly review recent progress in the area of information security utilizing combination of cryptography and steganography (crypto-stego) methods for ensuring double layer security for covert communication. The paper highlights the pros and cons of the existing image steganography techniques and crypto-stego methods. Further, a detailed description of commonly using evaluations parameters for both steganography and cryptography, are given in this paper. Overall, this work is an attempt to create a better understanding of image steganography and its coupling with the encryption methods for developing state of art double layer security crypto-stego systems.

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Section: Literature Surveymentioning

confidence: 99%

Double layer security using crypto-stego techniques: a comprehensive review

et al. 2021

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“…The article [101] proposes an algorithm for steganographic embedding of information in the spatial domain of images, based on the Sobel edge detector. The main feature of the algorithm is variable threshold value, which increases the security and capacity of embedding.…”

Section: Edge Detection Based Embeddingmentioning

confidence: 99%

Digital Steganography and Watermarking for Digital Images: A Review of Current Research Directions

2020

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The development of information technology has led to a significant increase in the share of multimedia traffic in data networks. This has necessitated to solve the following information security tasks in relation to multimedia data: protection against leakage of confidential information, as well as identifying the source of the leak; ensuring the impossibility of unauthorized changes; copyright protection for digital objects. To solve such kind of problems, methods of steganography and watermarking are designed that implement embedding in digital objects hidden information sequences for various purposes. In this paper, an overview of promising research in the specified area is provided. First of all, we provide basic information about this field of research and consider the main applications of its methods. Next, we review works demonstrating current trends in the development of methods and algorithms for data hiding in digital images. This review is not exhaustive; it focuses on contemporary works illustrating current research directions in the field of information embedding in digital images. This is the main feature of review, which distinguishes it from previously published reviews. The paper concludes with an analysis of identified problems in the field of digital steganography and digital watermarking.

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Optimized Data Hiding for the Image Steganography Using HVS Characteristics

Gupta

Garg

2021

Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences

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Edge based image steganography with variable threshold

Cited by 15 publications

References 34 publications

Double layer security using crypto-stego techniques: a comprehensive review

Double layer security using crypto-stego techniques: a comprehensive review

Digital Steganography and Watermarking for Digital Images: A Review of Current Research Directions

Optimized Data Hiding for the Image Steganography Using HVS Characteristics

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