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Research Article

Fake Image Detection on Social Media usingCNN Algorithm

  • Paper ID 768
  • Volume 3, Issue 6
  • Pages 83-85
  • Published Online: November-December 2022
Open Access Peer Reviewed

Authors

  • Aakash Singh1
  • Deepak Verma2
  • Km Annu Singh3
  • Km Pinki Yadav4
  • Sunil Yadav5

1234 Computer Science and Engineering, Institute of Technology and Management, Gorakhpur, India. 5Assistant Professor, Computer Science and Engineering, Institute of Technology and Management, Gorakhpur, India.

Article Information

DOI
No DOI
Published Online
November-December 2022
Pages
83-85
Article Type
Research Article
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No DOI available for cross-reference

References

1. G.Mohamed Sikandar, "100 Social Media Statistics You must know," [online] Available at: https://blog.statusbrew.com/social-
mediastatistics-2018-for-business/ [Accessed 02 Mar 2019].
2. 2.Damian Radcliffe, Amanda Lam, "Social Media in the Middle
East,"[online]Available:https://www.researchgate.net/publication/32318
5146_Social_Media_in_the_Middle_East_The_Story_of_2017 [Accessed 06 Feb 2019].
3. 3.Strigl, K. Kofler, & S. Podlipnig, (2010). Performance of GPU-based CNN model.
4. Li, W., Prasad, S., Fowler, J. E., & Bruce, L. M. (2012).Hyperspectral image analysisusing dimensionality reduction and
classification with locality preservation.
a. Krizhevsky, I. Sutskever, & G. E. Hinton, (2012). Using deep convolutionalneural networks to classify images.
5. K. Ravi, (2018). Detecting fake images with Machine Learning. Harkuch Journal.
6. ] J. Bunk, J. Bappy, H. Mohammed, T. M. Nataraj, L., Flenner, A., Manjunath, B., et al. (2017)Combining deep learning with
resampling characteristics to recognise and locate fake images. Electrical and Computer Engineering Department from University of
California at USA.
7. R. Raturi, (2018).Implementing Machine Learning to Spot Fake Accounts on Social Networks.50(4), 1185–1198 of the IEEE
Transactions on Geoscience and Remote Sensing.
8. M. Villan, A. Kuruvilla, K. J. Paul, & E. P. Elias, (2017). Fake Image Detection Using Machine Learning.
9. D.-H. Kim, & H.-Y. Lee, (2017). Image Manipulation Detection using Convolutional Neural Network.
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