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TEE-BFT: Pricing the Security of Data Center Execution Assurance

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  • Alex Shamis
  • Matt Stephenson
  • Linfeng Zhou

Abstract

Blockchains face inherent limitations when communicating outside their own ecosystem, largely due to the Byzantine Fault Tolerant (BFT) 3f+1 security model. Trusted Execution Environments (TEEs) are a promising mitigation because they allow a single trusted broker to interface securely with external systems. This paper develops a cost-of-collusion principal-agent model for compromising a TEE in a Data Center Execution Assurance design. The model isolates the main drivers of attack profitability: a K-of-n coordination threshold, independent detection risk q, heterogeneous per-member sanctions F_i, and a short-window flow prize (omega) proportional to the value secured (beta times V). We derive closed-form deterrence thresholds and a conservative design bound (V_safe) that make collusion unprofitable under transparent parameter choices. Calibrations based on time-advantaged arbitrage indicate that plausible TEE parameters can protect on the order of one trillion dollars in value.

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  • Alex Shamis & Matt Stephenson & Linfeng Zhou, 2025. "TEE-BFT: Pricing the Security of Data Center Execution Assurance," Papers 2510.26091, arXiv.org, revised Nov 2025.
    • Handle: RePEc:arx:papers:2510.26091
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