Smart Contract Invariants Protect Against Cybercriminals

📅 2026-08-13
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This work addresses the persistent vulnerability of blockchain smart contracts to exploits, for which existing defense mechanisms offer limited protection. To tackle this challenge, the authors propose a novel defense framework centered on program invariants. They introduce INVARIANTEVAL, the first systematic benchmark comprising 28 real-world Ethereum attacks paired with manually crafted invariants. The effectiveness of these invariants is rigorously evaluated through PONDEREPLAY, a transaction replay framework that integrates formal verification with large-scale historical transaction replay. Experimental results demonstrate that the designed invariants successfully prevent all 28 documented attacks without exception. Furthermore, validation against 108,637 real transactions confirms the correctness, completeness, and practical efficacy of the proposed approach in real-world deployment scenarios.
📝 Abstract
Blockchains are among the most adversarial environments in computing. Billions are stolen by cybercriminals who exploit vulnerabilities. This is an open problem and no concept or technique has proven to really make a difference. In this paper, we claim that the classical notion of program invariant is perhaps the most powerful solution to the problem. We devise anoriginal experimental protocol to 1) study how invariants would have protected against past real-world attacks and 2) whether state-of-the-art automated tools can find them. The experimental toolchain is sophisticated. It is based on INVARIANTEVAL, a benchmark of 28 real Ethereum exploits, each paired with a human-authored invariant that blocks the attack. We validate every invariant with PONDEREPLAY, a replay framework that re-executes transactions in order to prove the correctness and soundness of smart contract invariants. We demonstrate that smart contract invariants block all the cybercriminal attacks in INVARIANTEVAL, fully validated by replaying 108,637 historical transactions. Our large-scale experiments clearly demonstrate that smart contract invariants protect against cybercriminals.
Problem

Research questions and friction points this paper is trying to address.

smart contract
cybercriminal attacks
vulnerabilities
blockchain security
invariants
Innovation

Methods, ideas, or system contributions that make the work stand out.

smart contract invariants
INVARIANTEVAL
PONDEREPLAY
blockchain security
automated verification
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