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Advancements in Image Integrity Verification Techniques and Challenges in AI-Driven Forensics
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Author(s): Mona Moussa (Electronics Research Institute, Egypt)and Rasha Shoitan (Electronics Research Institute, Egypt)
Copyright: 2025
Pages: 40
Source title:
Digital Forensics in the Age of AI
Source Author(s)/Editor(s): Marwan Omar (Illinois Institute of Technology, USA)and Hewa Majeed Zangana (Duhok Polytechnic University, Iraq)
DOI: 10.4018/979-8-3373-0857-9.ch011
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Abstract
In the internet era, images and videos face significant danger from criminals seeking to manipulate and conceal evidence of their crimes. The authenticity of image and video evidence cannot be guaranteed, making it challenging to consider them strong proof in a law court. The ongoing competition between researchers developing forgery detection tools and forgers creating more sophisticated manipulation techniques adds complexity to creating a universal tool for efficiently detecting various types of forgeries. Numerous approaches have been proposed to assess the authenticity of images; this chapter conducts a comprehensive literature review and comparative analysis of recent effective techniques designed to discover image forgeries. The emphasis is on addressing copy-move and splicing attacks frequently encountered in such scenarios. The chapter also identifies commonly used datasets and evaluation metrics in this field. The chapter also highlights existing challenges and provides valuable insights into potential future directions for research in image forgery detection.
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