Volume 9, Issue 9 (September 2022), Pages: 127-135

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 Original Research Paper

 Improvement of a hamming code and logistic-map based pixel-level active forgery detection scheme

 Author(s): Oussama Benrhouma *

 Affiliation(s):

 Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah, Saudi Arabia

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0002-4540-3650

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2022.09.016

 Abstract:

In this paper, we present an improvement of a previously proposed watermarking scheme. We proved in a previous work that the scheme suffers from security flaws and we exploited those flaws to attack the scheme resulting in the revelation of the secret keys used in the embedding process. With possession of the keys watermarked images could be manipulated without being detected by the extraction scheme. In this paper, we propose an improvement of the scheme to cover the security flaws in the scheme. This work falls into the context of improving the design of security systems taking into consideration the different cryptanalysis techniques.

 © 2022 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Cryptanalysis, Improvement, Watermarking tamper, Detection, Chaotic functions, Forgery localization

 Article History: Received 3 April 2022, Received in revised form 17 June 2022, Accepted 17 June 2022

 Acknowledgment 

The authors would like to thank the deanship of research at the Islamic University of Madinah for supporting this research.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Benrhouma O (2022). Improvement of a hamming code and logistic-map based pixel-level active forgery detection scheme. International Journal of Advanced and Applied Sciences, 9(9): 127-135

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 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 Fig. 5 Fig. 6 Fig. 7 Fig. 8 

 Tables

 Table 1 Table 2 Table 3

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