Analysis of Deepfake Attacks and Detection Techniques in Smart City Applications

Author:

Munnee Ramraj,Armoogum Vinaye,Armoogum Sandhya

Publisher

Springer Nature Switzerland

Reference31 articles.

1. Albazony, A.A.M., et al.: DeepFake videos detection by using recurrent neural network (RNN). In: Proceedings of the 2023 Al-Sadiq International Conference on Communication and Information Technology (AICCIT) (2023)

2. Agrawal, A., Yalamanchi, V., Reddy, P.: Deepfake detection using deep learning: a review. In: Proceedings of the 2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (2020)

3. Adams, S., Lee, M.: Detecting deepfakes in smart city surveillance videos. J. Smart City Appl. 8(1), 120–135 (2021)

4. Afridi, I.U.H., Ding, J., Sajid, A., Khan, U.A.: Detection of deepfake video using convolutional neural networks. In: Proceedings of the 2019 5th International Conference on Computing for Sustainable Global Development (INDIACom), pp. 1082–1086. IEEE (2019)

5. Alam, M.A., Reaz, M.B.I., Ali, M.A.M: Smart cities: a survey. In: Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1048–1054. IEEE (2018)

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