Contextual Blockchain for the Internet of Things with Dynamic Approach to DLT Based on Ambient Conditions

Background: Traditional blockchains used in IoT applications are prone to limitations and weaknesses as a result of their unchangeable nature. In contrast, contextual blockchain adjusts its behaviour dynamically by including real-time environmental characteristics such as temperature, humidity, and location. The aforementioned dynamic technique improves the dependability, expandability, and accuracy of data in IoT networks. Objective: The article aims to conduct a comprehensive analysis of Contextual Blockchain, including its structure, methods of reaching agreement, and practical applications. This article explores many scenarios where the adaptability of Contextual Blockchain provides benefits, such as in supply chain management, environmental monitoring, and smart cities. Methodology: The article examines the privacy and security elements of Contextual Blockchain, with a specific emphasis on its ability to reduce new cyber dangers in the Internet of Things. By conducting the empirical study, we illustrate how ambient circumstances may actively enhance the optimisation of Distributed Ledger Technology (DLT), hence improving the context awareness, security, and efficiency of Internet of Things (IoT) applications. Results: Contextual Blockchain provides a viable solution for incorporating blockchain technology into the Internet of Things (IoT), effectively addressing several obstacles that conventional blockchain solutions encounter in IoT settings. Conclusion: Contextual Blockchain offers a unique method to enhance the interoperability between blockchain technology and the Internet of Things (IoT), leading to new opportunities for breakthroughs in security and innovation in many sectors. This study contributes significantly to the development of a more secure and efficient future by emphasising the need for flexibility and context-awareness in the constantly evolving field of Internet of Things (IoT) technology.