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Intelligent Watermarking for Data Security: An Overview
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Author(s): Imen Fourati Kallel (Ecole Nationale d'Electronique et des Télécommunications de Sfax (ENET'Com), Tunisia)and Mohamed Kallel (Ecole Nationale d'Electronique et des Télécommunications de Sfax (ENET'Com), Tunisia)
Copyright: 2024
Pages: 21
Source title:
Enhancing Performance, Efficiency, and Security Through Complex Systems Control
Source Author(s)/Editor(s): Idriss Chana (ESTM, Moulay Ismail University of Meknès, Morocco), Aziz Bouazi (ESTM, Moulay Ismail University of Meknès, Morocco)and Hussain Ben-azza (ENSAM, Moulay Ismail University of Meknes, Morocco)
DOI: 10.4018/979-8-3693-0497-6.ch015
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Abstract
Artificial intelligence has become widely and increasingly used in various advanced applications, notably classification, optimization, object recognition, and segmentation. Recently, it has been extended into watermarking techniques. It brings some approaches implying innovative security means, which are adjusted to new communications and information technologies. As it generally believed that the use of artificial intelligence in digital watermarking schemes could revolutionize the way digital data is protected. This chapter is about an overview of recent developments in artificial intelligence techniques utilized for watermarking. It begins with the watermarking background. Next, it represents a review of machine and deep learning watermarking techniques followed by a delineation of their advantages and disadvantages. In this light, the main problems are pinpointed with a suggestion of some possible discussed and highlighted solutions. The last point of this chapter is about outlining future research directions.
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