A Two-Layer Image-Steganography System for Covert Communication Over Enterprise Network

2020 ◽  
pp. 459-470
Author(s):  
Arome Junior Gabriel ◽  
Adebayo Olusola Adetunmbi ◽  
Preye Obaila
Keyword(s):  
Image Steganography ◽  
Covert Communication ◽  
Enterprise Network ◽  
Layer Image

scholarly journals Digital image steganography and steganalysis: A journey of the past three decades

2020 ◽  
Vol 10 (1) ◽  
pp. 296-342
Author(s):  
Aditya Kumar Sahu ◽  
Monalisa Sahu
Keyword(s):  
Digital Image ◽  
Image Steganography ◽  
The Other ◽  
Current Status ◽  
Covert Communication ◽  
Hiding Capacity ◽  
The Past ◽  
Science And Art ◽  
Recent Developments ◽  
Fair Balance

AbstractSteganography is the science and art of covert communication. Conversely, steganalysis is the study of uncovering the steganographic process. The evolution of steganography has been paralleled by the development of steganalysis. In this game of hide and seek, the two player’s steganography and steganalysis always want to break the other down. Over the past three decades, research has produced a plethora of remarkable image steganography techniques (ISTs). The major challenge for most of these ISTs is to achieve a fair balance between the metrics such as high hiding capacity (HC), better imperceptibility, and improved security. This study aims to present an exhaustive scrutiny of various ISTs from the classical to recent developments in the spatial domain, with respect to various image steganographic metrics. Further, the current status, recent developments, open challenges, and promising directions in this field are also highlighted.

A Novel Gray Code based Image Steganography Model for Covert Communication

2018 ◽  
Vol 6 (6) ◽  
pp. 1279-1288
Author(s):  
Sangeeta . ◽  
Jyoti Pandey ◽  
Kamaldeep Joshi ◽  
Rainu Nandal
Keyword(s):  
Gray Code ◽  
Image Steganography ◽  
Covert Communication

RGB Frequency Based Image Steganography

2020 ◽  
pp. 549-553
Author(s):  
Himanshu Kumar ◽  
Nitesh Kumar
Keyword(s):  
Image Steganography ◽  
Minimum Number

In this paper, we introduced a new RGB technique for image steganography. In this technique we introduced the idea of storing a different number of bits per channel (R, G or B) of a pixel based on the frequency of color values of pixel. The higher color frequency retains the maximum number of bits and lower color frequency stores the minimum number of bits.

Improved LSB method for Image Steganography using H´enon Chaotic Map

2014 ◽  
Vol 2014 (1) ◽  
pp. 34-42 ◽  
Author(s):  
N. S. Raghava ◽  
◽  
Ashish Kumar ◽  
Aishwarya Deep ◽  
Abhilasha Chahal ◽  
...  
Keyword(s):  
Chaotic Map ◽  
Image Steganography
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