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A review of hashing based image authentication techniques

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Abstract

In the recent digitization era, image hashing is a key technology, including image recognition, authentication and manipulation detection, among many multimedia security applications. The primary challenge in hashing schemes is to extract its robust feature. For a better understanding and design of a robust image hashing algorithm, it is very crucial to look into few important parameters like discrimination, robustness, reliability, etc. This paper reflects a detailed study of the existing literature on hashing-based image authentication techniques. This work provides a systematic overview and highlights the merits and demerits associated with various state-of-the-art techniques. In particular, the basic features and categories of image authentication techniques based on hashing are explored along with their properties. Moreover, different performance measures such as output metrices, receiver operating characteristics (ROC) parameters, execution time, etc., have been discussed in this work. The paper also compares the performances of various existing algorithms related to different content preserving operations on diverse data sets. This paper summarizes all the techniques and provides the most optimum solutions in regard to image hashing techniques based on different parameters.

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Acknowledgements

The authors would like to acknowledge all the members of the speech and Image` Processing` Laboratory of the ECE Department, NIT Silchar, Assam, India, for providing valuable suggestions and essential facilities to completing this work.

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  1. Department of ECE, National Institute of Technology Silchar, Assam, 788010, India

    Abdul Subhani Shaik, Ram Kumar Karsh & Rabul Hussain Laskar

  2. Department of ECE, CMR College of Engineering & Technology, Hyderabad, Telangana, 501401, India

    Abdul Subhani Shaik & Mohiul Islam

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Shaik, A.S., Karsh, R.K., Islam, M. et al. A review of hashing based image authentication techniques. Multimed Tools Appl 81, 2489–2516 (2022). https://doi.org/10.1007/s11042-021-11649-7

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