Deep Learning Approaches for Enhancing Security in Blockchain Systems: A Comprehensive Review and Analysis

Abstract

Blockchain technology has drawn a lot of interest since it has the ability to completely transform a number of different industries by offering transparent and safe transactional platforms. However, as blockchain technology becomes more widely used, security breaches become more likely. In blockchain systems, advanced threats are typically difficult to identify and counter using conventional security methods. Deep learning methods have been a viable approach for improving blockchain network security in recent years. An extensive evaluation of deep learning techniques for identifying security breaches in blockchain systems is provided in this study. We classify these methods according to the kinds of security breaches they tackle and the particular deep learning models they use. In addition, we go over difficulties, unanswered research problems, and potential paths for applying deep learning to blockchain security