Safe Low Bandwidth SPV: A Formal Treatment of Simplified Payment Verification Protocols and Security Bounds
–arXiv.org Artificial Intelligence
The verification of transactions in blockchain networks presents a bifurcation in protocol implementation: one pathway aligns with complete state replication through full nodes, while the alternative, as outlined in Nakamoto's seminal whitepaper [1], advocates simplified payment verification (SPV) wherein clients validate transactions via header-only proofs. This paper formalises and mathematically models the latter, extending it beyond its conceptual origin into a fully specified, implementable, and security-provable protocol. In doing so, we consolidate foundational concepts from the original whitepaper, correct widespread misinterpretations, and construct a complete formal model using automata theory, game-theoretic reasoning, and complexity-theoretic metrics. This treatise employs a layered structure: beginning with an exegesis of the SPV concept as it appears in the original protocol specification, we examine the trajectory of mis-implementations, diverging threat models, and false economic assumptions. Subsequent sections provide a rigorous formalisation of SPV in a low-bandwidth adversarial context. This includes the introduction of protocol optimisations that conform to the Bitcoin protocol as defined in 2008, with proofs grounded in computational and information-theoretic primitives. Later sections analyse game-theoretic cost models for misbehaviour, followed by a discussion of implementation artefacts and evaluation in simulated hostile environments. The final structure includes appendices detailing code listings, mathematical proofs, and graphical models that substantiate the proposed design.
arXiv.org Artificial Intelligence
Jul-2-2025
- Country:
- Europe > United Kingdom > England > Devon > Exeter (0.04)
- Genre:
- Research Report (0.63)
- Industry:
- Information Technology > Security & Privacy (1.00)
- Banking & Finance (1.00)
- Technology:
- Information Technology
- Security & Privacy (1.00)
- Game Theory (1.00)
- Communications > Networks (1.00)
- Data Science (0.92)
- e-Commerce > Financial Technology (0.88)
- Artificial Intelligence
- Information Technology