Privacy-preserving ledger for blockchain and Internet of Things-enabled cyber-physical systems

In recent years, decentralized applications such as Distributed Ledger Technologies and blockchain have evolved as suitable applications for secure sharing of information in a decentralized fashion using privacy preserving techniques like zero-knowledge protocols. However, the biggest issue with the traditional zero-knowledge protocols on a blockchain ledger is their slow performance on big data. This paper presents the advance zero-knowledge ledger by replacing their range-proof technique with the most efficient range-proof technique based on the improved inner product based zero-knowledge proofs. Moreover, this technique allows the aggregation of multiple range-proofs into a single range-proof, which makes the current zero-knowledge ledger system more efficient than the existing one.

Automated summary

In recent years, decentralized applications such as Distributed Ledger Technologies and blockchain have become suitable for secure sharing of information using privacy preserving techniques like zero-knowledge protocols. However, the slow performance of traditional zero-knowledge protocols on big data is a major issue on blockchain ledgers. This paper proposes an improved zero-knowledge ledger that replaces the range-proof technique with a more efficient technique based on improved inner product based zero-knowledge proofs. Additionally, this technique allows aggregation of multiple range-proofs into a single proof, making the current zero-knowledge ledger system more efficient than the existing one.