Integration of artificial intelligence, blockchain, and quantum cryptography for securing the Industrial Internet of Things (IIoT): Recent advancements and future trends
Loading...
Date
2025-03-27
Journal Title
Journal ISSN
Volume Title
Publisher
Mesopotamian Academic Press
Abstract
The swift growth of the Industrial Internet of Things (IIoT) offers tremendous potential to boost productivity, facilitate real-time decision-making, and automate procedures in various industries. However, as industries increasingly adopt IIoT, they face paramount data security, privacy, and system integrity challenges. Artificial intelligence (AI), Blockchain, and quantum cryptography are gaining significant attention as solutions to address these challenges. This paper comprehensively surveys advanced technologies and their potential applications for securing IIoT ecosystems. It reviews findings from 196 sources, including peer-reviewed journal articles, conference papers, books, book chapters, reports, and websites published between 2021 and 2025. The survey draws insights from leading platforms like Springer Nature, ACM Digital Library, Frontiers, Wiley Online Library, Taylor & Francis, IGI Global, Springer, ScienceDirect, MDPI, IEEE Xplore Digital Library, and Google Scholar. This paper explores AI-driven approaches to anomaly detection, predictive maintenance, and adaptive security mechanisms, demonstrating how machine learning (ML) and deep learning (DL) can identify and mitigate threats instantly. It also examines Blockchain technology, emphasizing its decentralized nature, immutability, and ability to secure data sharing and authentication within IIoT networks. The paper discusses quantum cryptography, which utilizes quantum mechanics for theoretically unbreakable encryption, ensuring secure communications in highly sensitive industrial environments. The integration of these technologies is analyzed to create a multi-layered defense against cyber threats, highlighting challenges in scalability, interoperability, and computational overhead. Finally, the paper reviews the current research, limitations and challenges, and future directions for securing IIoT with these advanced technologies. This survey offers valuable insights to researchers, engineers, and industry practitioners working to secure the expanding IIoT infrastructure.
Description
This review explores how artificial intelligence, blockchain, and quantum cryptography can secure Industrial Internet of Things systems by improving anomaly detection, predictive maintenance, adaptive security, and data integrity. It highlights current application challenges, such as interoperability, scalability, and data privacy, and outlines future research directions to build resilient, intelligent industrial networks. The paper supports SDG 9 on industry innovation and infrastructure, and SDG 17 on partnerships for the goals through technology innovation, collaboration, and secure infrastructure development. It also aligns with Uganda’s NDP IV aspirations for digital transformation and improved governance.
Keywords
Industrial Internet of Things, IIoT security threats and attacks, artificial intelligence, Blockchain technology, quantum cryptography
Citation
Ali, G., Aziku S., Kabiito, S.P., Morish, Z., Adebo, T., Wamusi, R., Asiku D., Sallam, M., Mijwil, M.M., Ayad, J. & Salau, A.O., (2025). Integration of artificial intelligence, blockchain, and quantum cryptography for securing the Industrial Internet of Things (IIoT): Recent advancements and future trends. Applied Data Science and Analysis, 2025, 19-82.