Blockchain-Based Source Tracing System Using Deep Learning: A Review

Deep learning has optimized the judgment-making ability for extremely complex problem statements and various fields of study. This deep learning system needs transparency in operation and has security dependability for data annotation for a centralized system, which is insufficient to tackle high-end mechanisms. When a single centralized system run the detailed deep learning model, the chain of neural works for training the neural network. The high-end security given by the blockchain environment gives tremendous compatibility with the deep learning mechanism. We have done a heavy literature survey for various applications of blockchain and deep learning integration. We have defined various types of blockchain and deep learning models, which has greater compatibility or in future, it can be integrated. We also have compared various deep learning-based blockchain frameworks in various applications. Finally, we have also concluded the dependability of various source tracing mechanisms for any possibility of optimizing using deep learning.