The integration of blockchain technology with the Internet of Things (IoT) offers significant opportunities to enhance privacy, security, and integrity, particularly in nuclear energy applications. This study comprehensively analyzes the challenges, scope, and potential solutions associated with integrating blockchain and IoT. It highlights the roles and aspects of both technologies, emphasizing their multiple dimensions and applications. The study develops a secure data management framework that incorporates encryption, integrity verification, an integrated communication network, and a robust data flow architecture. It explores various aspects of data security, privacy, and integrity, along with potential solutions in the integration of blockchain and IoT. The study also investigates secure transaction processes, focusing on cryptographic, mathematical, and algorithmic perspectives. It demonstrates the use of blockchain in the nuclear energy sector using flow charts, addressing associated security and privacy concerns. While emphasizing the applicability of the methodology to the nuclear sector, the study acknowledges limitations such as the need for practical validation, challenges in resource-constrained IoT environments, increasing cyber-threats, and limited real-time data availability. Future research will focus on standardization, scalable blockchain, post-quantum cryptography, privacy, regulations, real-world testbeds, and deep learning for nuclear sector security. The findings highlight that the integration of blockchain and IoT can significantly enhance security and privacy in nuclear energy applications, although practical validation and optimization are necessary.The integration of blockchain technology with the Internet of Things (IoT) offers significant opportunities to enhance privacy, security, and integrity, particularly in nuclear energy applications. This study comprehensively analyzes the challenges, scope, and potential solutions associated with integrating blockchain and IoT. It highlights the roles and aspects of both technologies, emphasizing their multiple dimensions and applications. The study develops a secure data management framework that incorporates encryption, integrity verification, an integrated communication network, and a robust data flow architecture. It explores various aspects of data security, privacy, and integrity, along with potential solutions in the integration of blockchain and IoT. The study also investigates secure transaction processes, focusing on cryptographic, mathematical, and algorithmic perspectives. It demonstrates the use of blockchain in the nuclear energy sector using flow charts, addressing associated security and privacy concerns. While emphasizing the applicability of the methodology to the nuclear sector, the study acknowledges limitations such as the need for practical validation, challenges in resource-constrained IoT environments, increasing cyber-threats, and limited real-time data availability. Future research will focus on standardization, scalable blockchain, post-quantum cryptography, privacy, regulations, real-world testbeds, and deep learning for nuclear sector security. The findings highlight that the integration of blockchain and IoT can significantly enhance security and privacy in nuclear energy applications, although practical validation and optimization are necessary.