Excerpt
Table of Contents
INTRODUCTION
1.1 Steganography
1.2 Steganalysis
1.3 Deep Learning Overview
1.4 Contributions
1.5 Thesis Roadmap
LITERATURE SURVEY
2.1 Introduction
2.2 Related Literature
2.3 Analysis of image steganalysis frameworks
2.4 Summary
PROBLEM FORMULATION AND RESEARCH METHODOLOGY
3.1 Introduction
3.2 Research Challenges
3.3 Broad problem statement
3.4 Research Objectives
3.5 Research Methodology
3.6 Summary
PROPOSED IMAGE STEGANALYSIS SCHEME
4.1 Introduction
4.2 The CNN based framework for image steganalysis
4.3 Training and testing of proposed image steganalysis framework
4.4 Summary
EXPERIMENTAL ANALYSIS AND RESULTS
5.1 Introduction
5.2 Datasets
5.3 Performance metrics used
5.4 Summary of the model
5.5 Experimental Results
5.6 Comparative Analysis
5.7 Summary
CONCLUSION AND FUTURE WORK
6.1 Introduction
6.2 Conclusion and future direction of the research work
REFERENCES
- Quote paper
- Numrena Farooq (Author)Adil Bashir (Author)Arvind Selwal (Author), 2020, Development of Intelligent Framework. Image Steganalysis using Deep Level Features, Munich, GRIN Verlag, https://www.grin.com/document/1254950
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