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

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
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.

Language:
English
Published:
International Journal of Reliability, Risk and Safety: Theory and Application, Volume:7 Issue: 1, Feb 2024
Pages:
103 to 114
https://www.magiran.com/p2827033  
سامانه نویسندگان
  • Lman Shafieenejad
    Corresponding Author (1)
    Assistant Professor Aeronautic, Aerospace Research Institute, Tehran, Iran
    Shafieenejad، Lman
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