Optimizing Blockchain Scalability and IoT Security: A Multi-Objective Performance Framework

In this paper, a lightweight blockchain-based security framework for IoT networks that easily mitigates security, scalability, and data integrity issues is proposed. The framework associated with this paper integrates the hybrid consensus mechanism (DPoS + PBFT) and the hybrid cryptographic hashing approach (SHA-256 and ECC) to optimize both security and performance. The framework is implemented in a python based blockchain that employs IoT generated transactional data and is evaluated based on the performance parameters like latency, throughput, consensus delay, computational speed and also memory usage. Experimental results demonstrate that the hybrid consensus approach used in this framework achieves better performance metrics compared to the traditional consensus algorithms like PoW, PoS. hybrid hashing approach allows to achieve additional security with the same computational costs. The result shows that the potential of the proposed framework as a secure, scalable and energy solution in the context of real time IoT networks, and the future scope will include the autonomous deployment in the real-world, AI integration for Anomaly detection, and enhanced optimization for large IoT datasets.