THE SILENT GUARD: ML-BASED ZERO-KNOWLEDGE PROOFS IN BLOCKCHAIN SECURITY

Abstract

The proposed study improves the competencies of the utility of ZKP in blockchain and the necessity to proceed with its further development to mitigate the issues of scalability. It also gives recommendations on the studies that should be done in the future to enhance the mechanisms of ZKP to assist in broader usage to facilitate a light digital transaction and a decentralized framework. This observation introduces a way to incorporate zero-knowledge Proofs (ZKP) in blockchain systems to increase the privacy and security of records. It contrasts ZKP protocols with zk-SNARKs and zk-STARKs in an attempt to estimate their potential to secure sensitive information without compromising its efficiency in interoperability among gadgets. By constructing a framework that analyzes the role of ZKP, the studies illuminate the potential of ZKP. The study explores the issues related to the use of ZKP in the fiscal interactions and decentralized manipulation of identity in a simulation-based hybrid method and elaborates on its implications on the general functioning and safety. The results are a follow-up of the reality that, since ZKP may play an important role in enhancing privacy and security of blockchain systems, the computation intensity of the method is a bottleneck. But the ZKP can be applied to the industries that have a high potential for adoption in the same optimization. This piece of work does not solely add to the body of information about the utility of ZKP in blockchain, but also highlights the fact that it should be advanced even further to fulfill the challenges of scalability. It also suggests future studies on destiny research that is specifically directed to the maximization of ZKP mechanisms for the expanded application in easy virtual transactions and decentralized designs.