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Semantic analysis of blockchain intelligence with proposed agenda for future issues

Author

Listed:
  • Rashi Saxena

    (Koneru Lakshmaiah Education Foundation)

  • E. Gayathri

    (Koneru Lakshmaiah Education Foundation)

  • Lalitha Surya Kumari

    (Koneru Lakshmaiah Education Foundation)

Abstract

Integrating blockchain technology with artificial intelligence (AI) i.e., blockchain Intelligence makes an extremely powerful tool that solves many multidimensional problems in several domains. Blockchain technology has the potential to provide links to shared data, transactions, and records in a decentralized, safe, and reliable manner, including the information and decision-making capability of AI which makes machines similar as capable as humans. This study is intended to present an updated systematic review of the integration of Blockchain and AI in various application areas. We have studied and summarized more than 100 research papers to present an updated version of the review. We also discuss the future of Blockchain technologies with AI. By integrating these two technologies results increases the security, efficiency, and productivity of the applications. Past works feature a few possible advantages of integration of Blockchain and AI, yet just give a restricted hypothetical system to depict forthcoming certifiable combination instances of the two advances. We survey and orchestrate surviving exploration on the integration of AI and Blockchain are other ways around to thoroughly build up a future research plan on the fusion of the two innovations. We also proposed an agenda to develop a secure system of cyber threat intelligence information exchange by using features of blockchain and artificial intelligence. This paper mainly focusses on explaining how collaboration of blockchain and AI gives immense boost in latest domains like Cybersecurity, Healthcare, Supply Chain Management, Finance and Banking and Social Media Analytics.

Suggested Citation

  • Rashi Saxena & E. Gayathri & Lalitha Surya Kumari, 2023. "Semantic analysis of blockchain intelligence with proposed agenda for future issues," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 34-54, March.
    • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:1:d:10.1007_s13198-023-01862-y
    DOI: 10.1007/s13198-023-01862-y
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    References listed on IDEAS

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    1. Anjee Gorkhali & Ling Li & Asim Shrestha, 2020. "Blockchain: a literature review," Journal of Management Analytics, Taylor & Francis Journals, vol. 7(3), pages 321-343, July.
    2. Choi, Tsan-Ming & Guo, Shu & Luo, Suyuan, 2020. "When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
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    4. Konstantinos Sgantzos & Ian Grigg, 2019. "Artificial Intelligence Implementations on the Blockchain. Use Cases and Future Applications," Future Internet, MDPI, vol. 11(8), pages 1-15, August.
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    Cited by:

    1. Pallavi Sood & Chetan Sharma & Shivinder Nijjer & Sumit Sakhuja, 2023. "Review the role of artificial intelligence in detecting and preventing financial fraud using natural language processing," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(6), pages 2120-2135, December.

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