Physics-Infused Framework for Strengthening Decentralized Security and Data Integrity in Distributed Blockchain Networks

Blockchain is one of the most promising technologies which supports the concepts of decentralization and provides secure solutions across the fields. However, implementing reliable and efficient security and data consistency in real-time, high-risk domains is still an active research issue due to the ever-growing number of cyber threats and complex characteristics of large-scale distributed systems. Some of the problems that are prevalent in current blockchain environment include; fault tolerance, scalability and anomaly detection. Encouraged by these gaps, this research presents PhyBb-WBS: Physics-Infused Framework for Enhancing Decentralized Security and Data Credibility of Blockchain-Based Distributed Apps. This framework implements the Fault Tolerant Consensus via Weighted Byzantine Strategy to achieve resilient and robust consensus, the Physics Infused Deep Neural Networks for anomaly detection and the Multimodal Bowerbird Optimization for dynamic parameters optimization providing a security solution robust in the face of such challenges. Specifically, the principal goal is the development of a reliable and, at the same time, practically oriented blockchain structure capable of meeting real-time requirements for data protection and storage. Originally, the framework is tailored for the applications like energy trading and transactions that require high quality of network. Performance evaluations demonstrate significant advancements, achieving over 99.8% anomaly detection accuracy and fault tolerance rates surpassing 99.5%. Additionally, it enhances throughput by 99.25% compared to traditional optimization methods. In conclusion, this paper presents the PhyBb-WBS framework that helps to improve the security and viability of blockchain. Solving important problems by leveraging sophisticated consensus protocols, effective anomaly detection, and adaptive optimization, this research proposes a significant advancement in utilizing decentralized systems in high-stake settings.