Advancements in High-Capacity Coverless Information Hiding: A Comprehensive Review of Robust Hashing Techniques

Authors

  • Vijaysinh K. Jadeja Author
  • Dr. Harsha Padheriya Author
  • Rajesh H. Davda Author
  • Bharat H. Nagpara Author

DOI:

https://doi.org/10.53555/AJBR.v27i4S.3295

Keywords:

Information hiding, Information security, SHIFT, Image stenography

Abstract

Coverless information hiding techniques, particularly those leveraging high-capacity approaches based on robust hashing algorithms, have gained prominence for their ability to securely embed significant volumes of data without relying on explicit cover images. This survey paper provides a thorough evaluation of the performance of such techniques, focusing on their capacity, robustness against attacks, computational efficiency, and comparative analysis with existing methods. Capacity assessments demonstrate the techniques’ capability to conceal large amounts of data, while robustness evaluations encompass various attack scenarios to gauge their resilience. Computational efficiency considerations shed light on practical implementation feasibility. Through comprehensive analysis and comparison, this survey offers valuable insights into the effectiveness and efficiency of high-capacity coverless information hiding techniques, serving as a guide for researchers and practitioners in the field.

Author Biographies

  • Vijaysinh K. Jadeja

    Research Scholar, Department of Computer Engineering, Faculty of Engineering & Technology, Monark University, Ahmedabad

  • Dr. Harsha Padheriya

    Department of Computer Engineering, Ahmedabad Institute of Technology, Ahmedabad

  • Rajesh H. Davda

    Department of Computer Engineering, Government Polytechnic, Bhuj

  • Bharat H. Nagpara

    Department of Electronics and Communication Engineering, Government Engineering College, Rajkot 

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Published

2024-11-12

Issue

Section

Research Article

How to Cite

Advancements in High-Capacity Coverless Information Hiding: A Comprehensive Review of Robust Hashing Techniques. (2024). African Journal of Biomedical Research, 27(4S), 706-714. https://doi.org/10.53555/AJBR.v27i4S.3295