This work explores the integration of Relationalmodel Multi-Agent System (RMAS) with Zero-Knowledge Proofs (ZKP) to enable verifiable computations in distributed systems. RMAS, based on relational algebra, simplifies multi-agent computations using active databases. By combining RMAS with zkSNARKs (Zero-Knowledge Succinct Non-Interactive Arguments of Knowledge), we provide a framework for privacy-preserving and verifiable operations in Cyber-Physical Systems (CPS). We demonstrate how SQL (Structured Query Language) queries can be transformed into relational algebra and compiled into ZoKrates Domain-Specific Language (DSL) for ZKP generation. A case study in sustainable food supply chains highlights the approach's potential to enhance trust, scalability, and security in collaborative environments.

Verifiable Actor Model Systems Through Relational-Model Multi-Agent System and Zero-Knowledge Proofs / Pirani, M., Cucchiarelli, A., Naeem, T., Spalazzi, L.. - (2025). (8th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2025 Emden 12 - 15 May 2025) [10.1109/ICPS65515.2025.11087864].

Verifiable Actor Model Systems Through Relational-Model Multi-Agent System and Zero-Knowledge Proofs

Pirani M.
Primo
;
Cucchiarelli A.;Spalazzi L.
Ultimo
2025-01-01

Abstract

This work explores the integration of Relationalmodel Multi-Agent System (RMAS) with Zero-Knowledge Proofs (ZKP) to enable verifiable computations in distributed systems. RMAS, based on relational algebra, simplifies multi-agent computations using active databases. By combining RMAS with zkSNARKs (Zero-Knowledge Succinct Non-Interactive Arguments of Knowledge), we provide a framework for privacy-preserving and verifiable operations in Cyber-Physical Systems (CPS). We demonstrate how SQL (Structured Query Language) queries can be transformed into relational algebra and compiled into ZoKrates Domain-Specific Language (DSL) for ZKP generation. A case study in sustainable food supply chains highlights the approach's potential to enhance trust, scalability, and security in collaborative environments.
2025
9798331542993
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/364874
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