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An Improved Image Steganography Based on Least Significant Bit Matching Revisited (LSBMR) Using Sobel Edge Detection
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An Improved Image Steganography Based on Least Significant Bit Matching Revisited (LSBMR) Using Sobel Edge Detection


This page presents an excerpt of the research material, providing a comprehensive overview of the study. It includes the Preliminary Pages, Table of Contents, Abstract, Chapters One to Five, and References, making it accessible and informative for students, researchers, and other readers interested in the topic of this study. Acknowledgement is also included, expressing gratitude to the individuals, institutions, and resources that contributed to the successful completion of the research, with materials and information sourced from the online platform sparklyn.com.ng, which provided valuable academic support.


Material Excerpt on an Improved Image Steganography Based on Least Significant Bit Matching Revisited (LSBMR) Using Sobel Edge Detection


PRELIMINARY PAGES

  • Title page
  • Approval page
  • Dedication
  • Acknowledgement
  • Table of Contents
  • Abstract

CHAPTER ONE

INTRODUCTION

  • 1.1 Introduction
  • 1.2 Background of Study
  • 1.3 Statement of the Problem
  • 1.4 Aim and Objective of the Study
  • 1.5 Research Questions
  • 1.6 Research Hypothesis
  • 1.7 Significance of Study
  • 1.8 Scope of Study
  • 1.9 Limitations of the Study
  • 1.10 Operational Definition of Terms

CHAPTER TWO

LITERATURE REVIEW

  • 2.1 Introduction
  • 2.2 Conceptual Review
  • 2.3 Theoretical Framework
  • 2.4 Empirical Studies
  • 2.5 Research Gaps
  • 2.6 Summary of Literature Review

CHAPTER THREE

RESEARCH METHODOLOGY

  • 3.1 Introduction
  • 3.2 Research Design
  • 3.3 Population of Study
  • 3.4 Sampling and Sampling Technique
  • 3.5 Validation of Research Instrument
  • 3.6 Method of Data Collection
  • 3.7 Method of Data Analysis
  • 3.8 Questionnaire Administration
  • 3.9 Ethical Consideration
  • 3.10 Statistical Analysis

CHAPTER FOUR

DATA ANALYSIS, RESULT AND DISCUSSION

  • 4.1 Introduction
  • 4.2 Presentation and Analysis of Data
  • 4.3 Re-statement of Research Questions
  • 4.4 Test of Hypotheses
  • 4.5 Discussion of Findings

CHAPTER FIVE

SUMMARY, CONCLUSION AND RECOMMENDATION

  • 5.1 Introduction
  • 5.2 Summary of Findings
  • 5.3 Conclusion
  • 5.4 Recommendation
  • 5.5 Suggestion for Further Study

REFERENCES

APPENDIX A - “QUESTIONNAIRE”


ABSTRACT


Image steganography is the science of hiding data for securing confidential communication and it is the most popular type of carrier to hold information. Many algorithms have been proposed to hide information into digital images. The least significant bit algorithm (LSB) as one of the algorithms proposed is widely used in message embedding. However, the robustness of the algorithm based on LSB is low. The hidden message is usually destroyed when some image operations like resizing, cropping and rotation are applied to the stego-image. To overcome this limitation, this work proposed an improved image steganography based on least significant bit matching revisited (LSBMR) using Sobel edge detection that withstands image operations like resizing, rotation and cropping. The proposed method employs 2-dimensional discrete cosine transformation (2D-DCT) to transform the detected edges of the cover image pixel value into its coefficient, embeds the secret message in the coefficients of the detected edges of the cover image which was implemented in Netbeans IDE. Experimental results produced better stego-image quality that is robust against multiple image operations such as resizing and cropping. The statistical steganalysis tools such as Virtual Steganographic Laboratory (VSL) and StegExpose cannot detect the presence of secret information in the stego-image. Also, the proposed system generated stego-image with Peak Signal to Noise Ratio (PSNR) that is an image quality metric of 68 decibels (dB) for 8000 bits of secret message as regards to the invisibility over the existing steganography technique.




Introduction

This chapter discusses the introductory part of this dissertation, which includes the background to the study, problem statements and research motivation, the research aim and objectives, research methodology, contribution to knowledge and finally the organization of the rest of the dissertation.

1.1 Background to the Study

Recently, people exchange information using the existing communication technologies such as the internet and huge volume of data transfer takes place via the plethora of services offered by the web. This information can be very sensitive and need to be protected against any attacker who tries to intercept them during the transmission stage. According to Ratnakirti et al., (2013), data over internet may be stolen, intercepted, illegally modified or even destroyed by an adversary resulting in intellectual property rights infringement, data loss, data leakage and data damage. Transmitting top secret information cannot be solely relied on the existing communication channels because the technologies are vulnerable to attacks Osama, (2005) and exchanged information can be detected relatively easily. Therefore, it is vital to protect the privacy and confidentiality of top secret message during its transit through the internet. To preserve the privacy and confidentiality of important data over the internet it must be provided with a metaphorical envelope such that its contents are revealed only to the intended receiver Ratnakirti et al., (2013) without arousing suspicions. Data hiding techniques such as steganography precisely aim at performing this task.

The steganography technique has been used many years ago to convey secret messages. For instance, Greek historian Herodotus was the first to document the usage of steganography to send messages (Aubrey, 1996). A slave was sent by his master to deliver a secret message tattooed on his scalp. After the message was tattooed, the slave waited until his hair grew back and concealed the message. The most popular steganographic methods between the 13th and 16th century involved written text. One method used a mask, a paper with holes, shared between the sender and recipient. The mask was simply put over the text and the message was revealed. Francis Bacon realized that two different fonts for each letter can be applied to embed binary representations of messages. Holub, (2014), stated that ”•Brewster devised a very original technique in 1857, which was later used in several wars”–.


CHAPTER TWO

LITERATURE REVIEW


2.1 Introduction

This chapter focuses on the review of related literature. A literature review presents current knowledge, as well as theoretical and methodological contributions, related to an Improved Image Steganography Based on Least Significant Bit Matching Revisited (LSBMR) Using Sobel Edge Detection. It documents the state of the art on the subject under study and provides a comprehensive survey of existing literature. In this research work the literature review includes the conceputal review, theoretical framework, the review of related literature …


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