Deep Learning Based Algorithm for Efficient Information Retrieval in Blockchain Transactions
DeepBlock is a state-of-the-art extraction algorithm leveraging advanced deep learning to facilitate efficient information retrieval from blockchain transactions. With the rapid expansion of blockchain technology, the ability to analyze and extract meaningful data from the enormous volume of transaction records has become increasingly vital. DeepBlock addresses this need by employing sophisticated deep learning techniques to autonomously identify and extract pertinent information from blockchain transactions. This innovative approach enables users to seamlessly access, and process valuable data stored within the blockchain, significantly improving efficiency and accuracy in data retrieval tasks. DeepBlock's cutting-edge algorithm not only enhances the extraction process but also adapts to the dynamic and complex nature of blockchain data, ensuring high relevance and precision. By streamlining information retrieval, DeepBlock empowers users to leverage blockchain technology more effectively, unlocking new possibilities for data analysis and application in various fields. Whether for financial analysis, regulatory compliance, or research, DeepBlock's deep learning-based extraction capabilities represent a significant advancement in harnessing the full potential of blockchain data.
Authors
- Gunasekar Thangarasu (ORCID: https://orcid.org/0000-0002-7516-9519)
- Yanyan Zhao (ORCID: https://orcid.org/0000-0001-5852-7962)
- Kayalvizhi Subrmanian
- K Nattar Kannan (ORCID: https://orcid.org/0000-0001-8062-7871)
Institutions
- Saveetha University (IN)
Publication Details
- Published
- 2024-08-10
- DOI
- https://doi.org/10.1109/isci62787.2024.10667712
- Citations
- 3
- Primary Topic
- Blockchain Technology Applications and Security
- Type
- article
- Field-Weighted Citation Impact
- 2.34