A blockchain-based secure framework for data management

Data management is a crucial requirement due to the autonomous and constrained nature of Unmanned Aerial Vehicles (UAVs), Internet of Things (IoTs), and the aviation domain. The autonomous and restricted nature of these sectors increases the need for a shared, distributed database, strong access control management, consensus in autonomous decision-making, and effective communication across diverse protocols and devices. This research presents a comprehensive approach and offers a new viewpoint to the field of blockchain while establishing a fundamental baseline for future improvements in data management systems and addressing the shortcomings of previously proposed existing frameworks in order to fulfill the complex needs of secure data management. This study contributes to the advancement of secure and efficient data management systems by implementing robust data monitoring for error detection, ensuring data integrity, and enabling encrypted or anonymous data sharing based on sensitivity levels. Additionally, the integration of diverse devices, enforcement of immutable regulations compliance, and development of permissioned blockchain systems for identity management further enhance the system's capabilities, offering comprehensive solutions for modern data management challenges. In the tests, the proposed framework showed increased successful transactions in all rate controllers. Besides, effect of the validator number on throughput and latency is tested and analyzed thoroughly. Data management is a crucial requirement due to the autonomous and constrained nature of Unmanned Aerial Vehicles (UAVs), Internet of Things (IoTs) and the aviation domain. This research underscores the shortcomings of previously suggested and existing frameworks emphasizing the absence of a comprehensive approach that successfully incorporates blockchain technology to fulfill the complex needs of secure data management. It offers a solution that carefully controls communication across different channels and protocols, ensures data confidentiality, promotes transparency and self-management following secrecy requirements, and maintains unchangeable records within a distributed domain. The framework's scalability and viability were confirmed by simulations on the Ethereum private blockchain, representing a substantial advancement in addressing the highlighted deficiencies in secure data management. This research presents a comprehensive approach that was not included in previous studies. image