Contextual Blockchain for the Internet of Things with Dynamic Approach to DLT Based on Ambient Conditions
Obaida Firas Osama, Abeer Salim Jamil, Amal Faisal Jaffar Al-Madhhachi, Rana Khudhair Abbas Ahmed, Qais Y. Hatim, Ruslan T. Osmanov, Waleed A. Mahmoud Al‐Jawher · 2024
This article presents a real-time environment aware blockchain framework for the Industrial Internet of Things (IIoT) to optimize contextually blockchain processing and execution. In contrast to current blockchain technologies, which are very static systems, this proposal adapts based on shuttering amounts such as temperature and pressure. The flexibility provided by blockchain promotes data authentication, and its adaptability makes sure that the needs of IIoT environments are met concerning security, integrity, and scalability. The system better accommodates the expanding data loads from IoT sensors and does so more resourcefully by leveraging dynamic block generation, smart contracts, as well as adaptive resource allocation to exploit the available resources serving it at peak performance.The study here also examines how IoT's cybersecurity benefits, in the form of contextual blockchain with cryptographic hashing and zero-knowledge proofs, allow developers to securely embed protection against Distributed Denial of Service (DDoS) attacks alongside data tampering or unauthorized access on an anytime basis. Operational use-cases such as supply chain management, smart cities and edge computing demonstrate the system solution accelerates real-time decision-making, reduces any resource wastage or delays if at all occurring in systemic responses, thereby enhances operational efficiency.In conclusion, contextual blockchain makes scalable and secure as well as flexible solution for IIoT application in which it pertains static nature of other blockchain systems to pragmatic real world situations. This work paves the way for possible future developments such as AI and edge computing integrations, which could make blockchain suitable to run on high-performance environments.