A Survey on Enhancing Aerospace System Security, Reliability, and Productivity Through Blockchain and Artificial Intelligence Integration

Shafieenejad, Iman; Nourianpour, Mohammadamin

doi:10.22034/IJRRS.2024.7.1.12

A Survey on Enhancing Aerospace System Security, Reliability, and Productivity Through Blockchain and Artificial Intelligence Integration

Document Type : Original Research Article

Authors

Iman Shafieenejad ¹

Mohammadamin Nourianpour ²

¹ Aerospace Research Institute, Ministry of Science, Research and Technology, Tehran, Iran

² Aerospace Department, Faculty of Engineering, Islamic Azad University Sciences and Research, Tehran, Iran

10.22034/IJRRS.2024.7.1.12

Abstract

This study discusses the enhancement of aerospace systems' security and productivity through the integration of blockchain and artificial intelligence (AI). The aerospace industry stands at the forefront of technological innovation, constantly striving for safety, efficiency, and reliability. This article explores how blockchain and AI can serve as transformative technologies to augment security and productivity in aerospace systems. Blockchain's inherent security features and AI's predictive capabilities provide unique solutions to address the industry's evolving challenges. Initially introduced through cryptocurrencies like Bitcoin, blockchain technology has evolved into a robust platform for data security and transparency. In the aerospace sector, it has the potential to revolutionize supply chain management, enhance operational efficiency, and improve aircraft lifecycle management. This article provides a comprehensive overview of the current state, potential applications, challenges, and future research directions in this field, drawing from relevant literature. Additionally, a comparison between blockchain technology and traditional record management systems highlights the advantages in data storage, security, transparency, and traceability that blockchain offers. While these technologies promise significant advancements, they also present legal, regulatory, and technological readiness challenges that need to be addressed. This article serves as a comprehensive survey for researchers, experts, and stakeholders, illustrating the transformative potential of AI and blockchain in the aerospace industry. The fusion of these technologies not only promises to elevate security and productivity but also holds the key to unlocking new possibilities for innovation in aerospace engineering.

Keywords

Confidence level

Demand and capacity factored design (DCFD)

Structure performance prediction

Incremental dynamic analysis

Subjects

Case Studies Related to Reliability, Risk and Safety

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