In the digital era, where cybersecurity threats arise large and blockchain technology promises decentralized security, the intersection of deep learning techniques and blockchain networks emerges as a frontier in safeguarding digital ecosystems. Deep learning, a subset of artificial intelligence, excels at detecting complex patterns and anomalies in vast datasets. We can enhance cyber threat detection capabilities by integrating deep learning with blockchain networks. This meta-analysis systematically reviews existing literature on deep learning in detecting cyber threats within blockchain networks. This study lists the examination of research published in the past 5 years, focusing on Neural network applications and other deep learning architecture and evaluating the performance of these techniques in detecting various types of cyber threats and their impacts. Blockchain is a promising technology that addresses these needs. This study uses a meta-analysis approach to identify key themes, trends, and

considerations from the current cyber threat detection approach. The study lists topics  of potential future research interest and benefits various stakeholders, including researchers.

Keywords

Blockchain, cyber threat detection, Deep learning, cybersecurity, meta-analysis.

In the digital era, where cybersecurity threats arise large and blockchain technology promises decentralized security, the intersection of deep learning techniques and blockchain networks emerges as a frontier in safeguarding digital ecosystems. Deep learning, a subset of artificial intelligence, excels at detecting complex patterns and anomalies in vast datasets. We can enhance cyber threat detection capabilities by integrating deep learning with blockchain networks. This meta-analysis systematically reviews existing literature on deep learning in detecting cyber threats within blockchain networks. This study lists the examination of research published in the past 5 years, focusing on Neural network applications and other deep learning architecture and evaluating the performance of these techniques in detecting various types of cyber threats and their impacts. Blockchain is a promising technology that addresses these needs. This study uses a meta-analysis approach to identify key themes, trends, and considerations from the current cyber threat detection approach. The study lists topics of potential future research interest and benefits various stakeholders, including researchers.

Keywords

Blockchain, cyber threat detection, Deep learning, cybersecurity, meta-analysis.