Integrating Artificial Intelligence and Blockchain Technology for Secure and Efficient Data Sharing

Main Article Content

Dr. Heena Kousar, Dr Sundara Rajulu Navaneethakrishnan, Dr. Dler Salih Hasan, Tejaswi Vuyyuru, Dr. Darshan A. Mahajan

Abstract

Purpose: The purpose of this review research paper is to critically examine the current state of research on the integration of Artificial Intelligence (AI) and Blockchain technology for enhancing security, privacy, and efficiency in data sharing systems, as well as to identify potential research directions and opportunities for future advancements in the field.


Theoretical Framework: This study is grounded in the theories of distributed computing, cryptography, and machine learning, which provide the necessary foundation for understanding the principles and applications of AI and Blockchain technologies in the context of secure data sharing.


Design/Methodology/Approach: A comprehensive and systematic review of the literature was conducted, utilizing databases such as IEEE Xplore, ACM Digital Library, and Google Scholar. The selection criteria included relevance to the topic, quality of research methodology, and significance of the contributions. The review synthesized the findings of various studies, highlighting the main challenges, achievements, and limitations of existing approaches.


Findings: The review reveals that integrating AI and Blockchain technologies can significantly improve the security, privacy, and efficiency of data sharing systems. Solutions such as smart contracts, federated learning, and secure multi-party computation are found to play a pivotal role in overcoming data sharing challenges. However, the review also identifies several open research questions, such as scalability, energy consumption, and interoperability, that require further exploration to fully realize the potential of these technologies.


Research, Practical & Social Implications: The findings of this review have implications for researchers, practitioners, and policymakers in the fields of AI, Blockchain, and data sharing. By addressing the identified challenges, new opportunities can be unlocked for creating secure, efficient, and trustworthy data sharing platforms that have a significant impact on various industries and society as a whole.


Originality/Value: This review offers a comprehensive and up-to-date analysis of the intersection of AI and Blockchain technologies in the context of secure data sharing, providing valuable insights for researchers and practitioners interested in the development and application of these technologies.


 


 

Article Details

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Articles
Author Biography

Dr. Heena Kousar, Dr Sundara Rajulu Navaneethakrishnan, Dr. Dler Salih Hasan, Tejaswi Vuyyuru, Dr. Darshan A. Mahajan