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Blockchain and Generative AI for Securing Distributed Systems
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Author(s): Humaira Ashraf (Taylor's University, Malaysia), Uswa Ihsan (International Islamic University, Islamabad, Pakistan), Ata Ullah (Independent Researcher, Pakistan), Sayan Kumar Ray (Taylor's University, Malaysia)and Navid Ali Khan (Taylor's University, Malaysia)
Copyright: 2025
Pages: 18
Source title:
Reshaping CyberSecurity With Generative AI Techniques
Source Author(s)/Editor(s): Noor Zaman Jhanjhi (School of Computing Science, Taylor's University, Malaysia)
DOI: 10.4018/979-8-3693-5415-5.ch006
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Abstract
Blockchain and AI have revolutionized how distributed systems can work. Combining blockchain and generative ai to enhance data integrity and cooperation in the treacherous field may find innovative ways blockchain and generative AI can develop distributed systems in terms of data integrity, transparency, scalability, security, cooperation, and decision-making. Through an investigation, it is understood how blockchain secures AI models, makes them more transparent and traceable, decentralizes training, and makes distributed models more efficient and scalable. Examples from real applications across worlds will guide how blockchain and generative AIs are used in fields such as health, finance, film, supply chains, and electrical transmission.As a result, different sources' knowledge is adopted as proven to propel the process of supplementing blockchain and AI towards a future of intelligent, flexible, and secure distributed systems.
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