Machine learning approaches for enhancing smart contracts security: A systematic literature review

Smart contracts offer automation for various decentralized applications but suffer from vulnerabilities that cause financial losses. Detecting vulnerabilities is critical to safeguarding decentralized applications before deployment. Automatic detection is more efficient than manual auditing...

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Bibliographic Details
Main Authors: Areej AlShorman, Fatima Shannaq, Mohammad Sheha
Format: Article
Language:English
Published: Growing Science 2024-01-01
Series:International Journal of Data and Network Science
Online Access:http://www.growingscience.com/ijds/Vol8/ijdns_2024_71.pdf