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Design a modern scheme for machine learning-based detection of image forgery

Emir Kalik & Ayad Hasan Adhab

International Journal of Data Analysis Techniques and Strategies2026https://doi.org/10.1504/ijdats.2026.151638article
AJG 1
Weight
0.50

What the paper says

The rapid growth and development of information technology have led to the emergence of numerous methods that are used for digital image forgery. Thus, manipulating digital images to achieve a negative or positive purpose has become easy. The use of advanced methods in forgery has increased the difficulty of detecting the nature of the images, whether they are original or forged, especially when using classical methods. Therefore, many researchers are interested in this field, making it a popular research direction for researchers. In this paper, we will introduce an intelligent approach to designing a method for digital image forgery detection by using machine learning. This proposal seeks to train an intelligent model to discern between altered and original images by examining the essential features of the images. The results demonstrated that it achieved superior performance and high accuracy when it came to detecting forgeries in digital images.

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https://doi.org/https://doi.org/10.1504/ijdats.2026.151638

Or copy a formatted citation

@article{emir2026,
  title        = {{Design a modern scheme for machine learning-based detection of image forgery}},
  author       = {Emir Kalik & Ayad Hasan Adhab},
  journal      = {International Journal of Data Analysis Techniques and Strategies},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijdats.2026.151638},
}

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Design a modern scheme for machine learning-based detection of image forgery

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.