A review of hashing based image authentication techniques
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 d...
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| Autor*in: |
Shaik, Abdul Subhani [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
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| Übergeordnetes Werk: |
Enthalten in: Multimedia tools and applications - Springer US, 1995, 81(2021), 2 vom: 29. Okt., Seite 2489-2516 |
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volume:81 ; year:2021 ; number:2 ; day:29 ; month:10 ; pages:2489-2516 |
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10.1007/s11042-021-11649-7 |
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| 520 | |a 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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10.1007/s11042-021-11649-7 doi (DE-627)OLC2077918845 (DE-He213)s11042-021-11649-7-p DE-627 ger DE-627 rakwb eng 070 004 VZ Shaik, Abdul Subhani verfasserin aut A review of hashing based image authentication techniques 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 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. Perceptual image hashing Image authentication Tamper detection Security Karsh, Ram Kumar aut Islam, Mohiul aut Laskar, Rabul Hussain aut Enthalten in Multimedia tools and applications Springer US, 1995 81(2021), 2 vom: 29. Okt., Seite 2489-2516 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:81 year:2021 number:2 day:29 month:10 pages:2489-2516 https://doi.org/10.1007/s11042-021-11649-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW AR 81 2021 2 29 10 2489-2516 |
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10.1007/s11042-021-11649-7 doi (DE-627)OLC2077918845 (DE-He213)s11042-021-11649-7-p DE-627 ger DE-627 rakwb eng 070 004 VZ Shaik, Abdul Subhani verfasserin aut A review of hashing based image authentication techniques 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 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. Perceptual image hashing Image authentication Tamper detection Security Karsh, Ram Kumar aut Islam, Mohiul aut Laskar, Rabul Hussain aut Enthalten in Multimedia tools and applications Springer US, 1995 81(2021), 2 vom: 29. Okt., Seite 2489-2516 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:81 year:2021 number:2 day:29 month:10 pages:2489-2516 https://doi.org/10.1007/s11042-021-11649-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW AR 81 2021 2 29 10 2489-2516 |
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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. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
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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. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
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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. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 |
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A review of hashing based image authentication techniques |
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Karsh, Ram Kumar Islam, Mohiul Laskar, Rabul Hussain |
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