scholarly journals A Novel Hash Based Least Significant Bit (2-3-3) Image Steganography In Spatial Domain

2015 ◽  
Vol 4 (1) ◽  
pp. 11-20 ◽  
Author(s):  
Manjula G.R ◽  
Ajit Danti
Keyword(s):  
Spatial Domain ◽  
Image Steganography ◽  
Least Significant Bit

scholarly journals Reference-free differential histogram-correlative detection of steganography: performance analysis

2022 ◽  
Vol 25 (1) ◽  
pp. 329
Author(s):  
Natiq M. Abdali ◽  
Zahir M. Hussain
Keyword(s):  
Neural Networks ◽  
Performance Analysis ◽  
Recent Work ◽  
Detection Method ◽  
Spatial Domain ◽  
Image Steganography ◽  
Least Significant Bit ◽  
Stego Image ◽  
Image Tampering ◽  
Derivatives Of

<span lang="EN-US">Recent <span>research has demonstrated the effectiveness of utilizing neural networks for detect tampering in images. However, because accessing a database is complex, which is needed in the classification process to detect tampering, reference-free steganalysis attracted attention. In recent work, an approach for least significant bit (LSB) steganalysis has been presented based on analyzing the derivatives of the histogram correlation. In this paper, we further examine this strategy for other steganographic methods. Detecting image tampering in the spatial domain, such as image steganography. It is found that the above approach could be applied successfully to other kinds of steganography with different orders of histogram-correlation derivatives. Also, the limits of the ratio stego-image to cover are considered, where very small ratios can escape this detection method unless </span> modified.</span>

scholarly journals Text embedding using image steganography in spatial domain

2018 ◽  
Vol 7 (3.6) ◽  
pp. 1 ◽  
Author(s):  
P Srilakshmi ◽  
Ch Himabindu ◽  
N Chaitanya ◽  
S V. Muralidhar ◽  
M V. Sumanth ◽  
...  
Keyword(s):  
Text Message ◽  
Spatial Domain ◽  
Image Steganography ◽  
Text Data ◽  
Novel Approach

This paper proposed novel approach of image steganography for text embedding in spatial domain. In the proposed embedding the message is dumped into the image with reference to a random generated key, based on this key the extraction of text is done from the image. So this method is a highly secured from eavesdropping and highly complex to identify the text data in the image and retrieving the text message from the message is also a resilient process. The extraction is only possible when the key is known. 

scholarly journals IMAGE STEGANOGRAPHY DENGAN METODE LEAST SIGNIFICANT BIT (LSB)

2015 ◽  
Vol 6 (1) ◽  
pp. 53
Author(s):  
M. Miftakul Amin
Keyword(s):  
Image Steganography ◽  
Least Significant Bit

<p>ABSTRAK <br /> <br />Keamanan dalam menyampaikan pesan rahasia merupakan faktor penting dalam penyebaran informasi di dunia maya. Melindungi supaya pesan yang akan dikirimkan sampai kepada pihak yang berhak, perlu dibuat sebuah mekanisme penyembunyian pesan. Tujuan dari penelitian ini adalah menyembunyikan pesan berupa teks rahasia ke dalam citra digital true colour 24 bit dalam format RGB. Metode yang digunakan untuk menyisipkan pesan rahasia menggunakan metode LSB (Least Significant Bit) dengan mengganti bit terakhir atau bit ke-8 dalam setiap komponen warna RGB. <br />Pilihan jenis file citra RGB dengan pertimbangan kapasitas pesan yang dapat disisipkan lebih besar dibandingkan jika menggunakan citra grayscale, hal ini dikarenakan dalam 1 pixel dapat disisipkan 3 buah bit pesan. Ujicoba yang dilakukan memberikan hasil bahwa pesan yang disembunyikan ke dalam citra digital tidak mengurangi kualitas citra digital secara signifikan, dan pesan yang telah <br />disembunyikan dapat diekstrak kembali, sehingga pesan yang dikirimkan dapat sampai dengan aman kepada penerima.</p>

Enhancing the confidentiality of text embedding using image steganography in spatial domain

2021 ◽  
Author(s):  
N. Karthikeyan ◽  
K. Kousalya ◽  
N. Krishnamoorthy ◽  
N. Jayapandian
Keyword(s):  
Spatial Domain ◽  
Image Steganography
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