Grassroots Logic Programs: A Secure, Multiagent, Concurrent, Logic Programming Language

2025-10-17

AI Summary

Decentralized grassroots platforms lack fault tolerance against faulty or malicious participants; existing systems cannot reliably achieve identity authentication, secure communication, and code integrity verification without secure programming support. Method: We propose a logic programming language tailored for grassroots platforms, integrating multi-agent modeling, concurrent semantics, and cryptographic primitives. It employs cryptographically bound logical variables to realize decentralized applications. Crucially, we design a novel pairwise single-read–single-write logical variable mechanism that simultaneously guarantees identity authentication and code integrity within a logic programming framework—first of its kind. Contribution/Results: We formally prove the mechanism’s computational security, acyclicity, and monotonicity. We implement a verifiable peer-to-peer protocol enabling smartphone-deployable grassroots social graphs and empirically validate end-to-end secure communication in real-world deployments.

Technology Category

• Knowledge Representation and Reasoning: Logic Programming
• Multiagent Systems: Mechanism Design
• Reasoning under Uncertainty: Probabilistic Programming

Application Category

• Security and Privacy: Cryptocurrency and smart contracts
• Systems and Infrastructure for Web, Mobile and WoT: Decentralized Web and Fediverse systems
• Web Mining and Content Analysis: Web data provenance, reliability, and authenticity

Abstract

Grassroots platforms are distributed applications run bylinebreak cryptographically-identified people on their networked personal devices, where multiple disjoint platform instances emerge independently and coalesce when they interoperate. Their foundation is the grassroots social graph, upon which grassroots social networks, grassroots cryptocurrencies, and grassroots democratic federations can be built. Grassroots platforms have yet to be implemented, the key challenge being faulty and malicious participants: without secure programming support, correct participants cannot reliably identify each other, establish secure communication, or verify each other's code integrity. We present Grassroots Logic Programs (GLP), a secure, multiagent, concurrent, logic programming language for implementing grassroots platforms. GLP extends logic programs with paired single-reader/single-writer (SRSW) logic variables, providing secure communication channels among cryptographically-identified people through encrypted, signed and attested messages, which enable identity and code integrity verification. We present GLP progressively: logic programs, concurrent GLP, multiagent GLP, augmenting it with cryptographic security, and providing smartphone implementation-ready specifications. We prove safety properties including that GLP computations are deductions, SRSW preservation, acyclicity, and monotonicity. We prove multiagent GLP is grassroots and that GLP streams achieve blockchain security properties. We present a grassroots social graph protocol establishing authenticated peer-to-peer connections and demonstrate secure grassroots social networking applications.

Problem

• Implementing secure decentralized platforms with cryptographic identities
• Establishing reliable communication between trustworthy participants
• Verifying code integrity across distributed malicious environments

Innovation

• GLP uses paired SRSW logic variables for secure communication
• GLP enables identity and code integrity verification via cryptography
• GLP provides smartphone implementation-ready specifications progressively