Smart Contract Security Beyond Detection

• URL: http://arxiv.org/abs/2605.09124v2
• Date: Sat, 16 May 2026 19:49:41 GMT
• Title: Smart Contract Security Beyond Detection
• Abstract summary: This paper develops a capstone-oriented research narrative around four directions.<n>These directions include semantic reasoning, automated repair, adversarial robustness, and real-time exploit detection.<n>The resulting framework is intended to help students formulate projects that are technically grounded, empirically measurable, and aligned with contemporary smart contract security research.
• Score: 1.4213973379473657
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Smart contract security has progressed from vulnerability detection toward a broader research agenda that includes semantic reasoning, automated repair, adversarial robustness, and real-time exploit detection. This paper develops a capstone-oriented research narrative around four directions: foundation-model-based smart contract semantics and vulnerability reasoning [1], automated smart contract repair with formal guarantees [2], adversarial learning for robust malicious contract and transaction detection [3], and real-time transaction-level exploit detection at blockchain scale [4]. We connect these directions to two recent studies that characterize the current frontier: a diagnostic analysis of where smart contract security analyzers fall short [5] and a scalable real-time system for malicious Ethereum transaction detection [6]. The resulting framework is intended to help students formulate capstone projects that are technically grounded, empirically measurable, and aligned with contemporary smart contract security research.

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