Hiding Information using Image Steganography

Image steganography is the procedure of concealing confidential information within a picture in a manner that it is imperceptible to human eyes. The word Stego in Greek means ‘cover’ and grafia means ‘writing’ so this can be termed as cover writing. This technique is used to secure data by concealing it from unauthorized access. This research paper's main objective is to provide an overview of image steganography and its techniques. The paper also discusses the advantages and disadvantages of image steganography and its applications. Deep learning algorithms used for this practice can be segregated into branches: Conventional Methods such as LSB replacement, LSB matching, DCT and DWT) and CNN (Convolutional Neural Network) based methods. This paper contains all the clustered procedures, limitations, benefits and barriers faced in advancement of this field.

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Publication Details

Published
2024-08-29
DOI
https://doi.org/10.1109/iceect61758.2024.10739114
Citations
1
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
Field-Weighted Citation Impact
0.25
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article

Hiding Information using Image Steganography

Harshita Rathi
1 citations
Advanced Steganography and Watermarking Techniques
0.25
article

Hiding Information using Image Steganography

Harshita Rathi
article en
1 citations

Abstract

Image steganography is the procedure of concealing confidential information within a picture in a manner that it is imperceptible to human eyes. The word Stego in Greek means ‘cover’ and grafia means ‘writing’ so this can be termed as cover writing. This technique is used to secure data by concealing it from unauthorized access. This research paper's main objective is to provide an overview of image steganography and its techniques. The paper also discusses the advantages and disadvantages of image steganography and its applications. Deep learning algorithms used for this practice can be segregated into branches: Conventional Methods such as LSB replacement, LSB matching, DCT and DWT) and CNN (Convolutional Neural Network) based methods. This paper contains all the clustered procedures, limitations, benefits and barriers faced in advancement of this field.

Galgotias University (IN)
Openalex Percentile: Top 45%
Advanced Steganography and Watermarking Techniques
0.25
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