Artificial Intelligence Verification Platform using Block Chain with Distributed Ledger Technology

Dr. Arminder Kaur; Krishna Raj Singh

doi:10.55524/ijircst.2021.9.6.8

Abstract

Developments in (AI) or (DLT) are now provoking lively debate in practice and academia. AI uses data to achieve goals that were previously believed to be only possible for humans. In an unsettled context, distributed ledger technology has the potential to establish consensus about information among a group of contributors. Both technologies that are needed in similar and common systems are investigated in this study. As a result, the safe pattern (DLT) or the creation of a federated learning system spread over many nodes. It has the ability to lead technological convergence, which has previously covered the technique for the major revolution in technology (IT). Earlier work summarizes many possible benefits of the convergence of DLT and AI, but only provides a limited theoretical framework to describe future real-world DLT and AI merger instances. The primary goal of this research is to disseminate by maintaining systematic previous works and offering conscientious derivative future research opportunities. This study contributes to overcoming existing constraints in AI and DLT convergence for both technologies.

Keywords

Artificial Intelligence, BlockChain, Distributed Ledger Technology, Information Technology, Verification.

References

1] Mccarthy J. WHAT IS ARTIFICIAL INTELLIGENCEâ€¯? :1–15.

[2] Ribitzky R, St. Clair J, Houlding DI, McFarlane CT, Ahier B, Gould M, et al. Pragmatic, Interdisciplinary Perspectives on Blockchain and Distributed Ledger Technology: Paving the Future for Healthcare. Blockchain Healthc Today. 2018;(March).

[3] Chapters R, Russell S, Norvig P. Autonomy and Decision Making Today ’ s Assignment Course Objective 1â€¯: Agent Architectures Types of Agents Course Objective 2â€¯: Principles of Agents Course Objective 3â€¯: Implementing Agents Outline • Objectives and Logistics Types of Agents.

[4] Yu FR, Liu J, He Y, Si P, Zhang Y. Virtualization for Distributed Ledger Technology (vDLT). IEEE Access. 2018;6(c):25019–28.

[5] Ramesh AN, Kambhampati C, Monson JRT, Drew PJ. Artificial intelligence in medicine. 2004;44(0):334–8.

[6] Kadam SK. Review of Distributed Ledgers: The technological Advances behind cryptocurrency. 2018;(March).

[7] Minskyt M. Steps Toward Artificial Intelligence *.

[8] Hamet P, Tremblay J. Artificial intelligence in medicine. Metabolism. 2017;69:S36–40.

[9] Zhang K, Jacobsen HA. Towards dependable, scalable, and pervasive distributed ledgers with blockchains. Proc - Int Conf Distrib Comput Syst. 2018;2018-July(July):1337–46.

[10] Distributed Ledger Technology.

Cites this article as

D. A. Kaur, K. R. Singh, "Artificial Intelligence Verification Platform using Block Chain with Distributed Ledger Technology ", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-9, Issue-6, Page No-36-40, 2021. Available from: https://doi.org/10.55524/ijircst.2021.9.6.8

Corresponding Author

Dr. Arminder Kaur

SBAS, Sanskriti University, Mathura, Uttar Pradesh, India (arminder.smas@sanskriti.edu.in)

Download Full Paper

Download PDF

No. of Downloads: 40 | No. of Views: 1145

Deep Learning-Driven Optimized Approaches for Network Anomaly Detection in IoT-Enabled Cloud Ecosystems: A Comprehensive Review

Anjum Ahsan, Parvez Rauf, Mohd Haroon.

January 2025 - Vol 13, Issue 1
Advancing Cybersecurity and Data Networking Through Machine Learning-Driven Prediction Models

Sai Ratna Prasad Dandamudi, Jaideep Sajja, Amit Khanna.

January 2025 - Vol 13, Issue 1
Leveraging Artificial Intelligence for Data Networking and Cybersecurity in the United States

Sai Ratna Prasad Dandamudi, Jaideep Sajja, Amit Khanna.

January 2025 - Vol 13, Issue 1

Artificial Intelligence Verification Platform using Block Chain with Distributed Ledger Technology

Citations

Download Full Paper PDF

Total View 1145

Total Download 40