Blockchain and AI for IoT Security

Building a Decentralized Framework for Autonomous Devices

Authors

  • Sophia Johnson Assistant Professor, Department of Computer Science, Stanford University, Stanford, CA, USA Author

Keywords:

Blockchain, Artificial Intelligence, Internet of Things, Security Framework, Data Breaches

Abstract

This paper proposes a blockchain-based framework for securing AI-driven Internet of Things (IoT) devices, highlighting how the combined technologies can mitigate risks of unauthorized access, data breaches, and tampering in autonomous systems. As the proliferation of IoT devices increases, so do the vulnerabilities associated with them, making it imperative to develop robust security measures. The integration of blockchain technology and artificial intelligence (AI) offers a promising solution, leveraging decentralized architecture and intelligent data processing to enhance security protocols. This framework outlines the design and implementation of a security model that combines blockchain’s immutability with AI’s predictive capabilities. Furthermore, it discusses the challenges faced in deploying such a framework and the potential implications for the future of IoT security. The findings suggest that a decentralized approach to securing IoT devices can significantly enhance their resilience against cyber threats.

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Published

19-10-2024

How to Cite

[1]
Sophia Johnson, “Blockchain and AI for IoT Security: Building a Decentralized Framework for Autonomous Devices”, Australian Journal of Machine Learning Research & Applications, vol. 4, no. 2, pp. 66–74, Oct. 2024, Accessed: Dec. 22, 2024. [Online]. Available: https://sydneyacademics.com/index.php/ajmlra/article/view/165

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