BlockIoTintelligence: Integrating Blockchain and AI for Enhanced Performance in IoT and Healthcare

Yuxuan Chen

2024

Abstract

With the advancement of technology, the integration of blockchain and artificial intelligence (AI) has emerged as a prominent research topic. This paper aims to explore the core technologies involved and analyze the performance of their combination. The approach utilizes blockchain to provide secure, transparent, and immutable data storage, while AI offers advanced data analysis and predictive insights. The discussion of the study focuses specifically on two sectors, Internet of Things (IoT) and healthcare. The methodology involves developing AI algorithms to analyze data from IoT devices and healthcare systems and integrating these algorithms with a blockchain ledger to improve the performance while making sure data integrity and preventing unauthorized access. The proposed framework, termed BlockIoTintelligence architecture, is evaluated for its effectiveness. Results reveal significant improvements in data security, operational efficiency, and accuracy in both fields. The paper also points out the limitations and challenges associated with this integration. It concludes by summarizing the value of combining AI and blockchain technology, providing valuable insights for practitioners in IoT and healthcare, and highlighting its implications for social and business management.

Paper Citation

in Harvard Style

Chen Y. (2024). BlockIoTintelligence: Integrating Blockchain and AI for Enhanced Performance in IoT and Healthcare. In Proceedings of the 2nd International Conference on Data Analysis and Machine Learning - Volume 1: DAML; ISBN 978-989-758-754-2, SciTePress, pages 374-378. DOI: 10.5220/0013524300004619

in Bibtex Style

@conference{daml24,
author={Yuxuan Chen},
title={BlockIoTintelligence: Integrating Blockchain and AI for Enhanced Performance in IoT and Healthcare},
booktitle={Proceedings of the 2nd International Conference on Data Analysis and Machine Learning - Volume 1: DAML},
year={2024},
pages={374-378},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013524300004619},
isbn={978-989-758-754-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Analysis and Machine Learning - Volume 1: DAML
TI - BlockIoTintelligence: Integrating Blockchain and AI for Enhanced Performance in IoT and Healthcare
SN - 978-989-758-754-2
AU - Chen Y.
PY - 2024
SP - 374
EP - 378
DO - 10.5220/0013524300004619
PB - SciTePress