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Formal Verification of Smart Contracts: Short Paper
Open accessAbstract
Ethereum is a framework for cryptocurrencies which uses blockchain technology to provide an open global computing platform, called the Ethereum Virtual Machine (EVM). EVM executes bytecode on a simple stack machine. Programmers do not usually write EVM code; instead, they can program in a JavaScript-like language, called Solidity, that compiles to bytecode. Since the main purpose of EVM is to execute smart contracts that manage and transfer digital assets (called Ether), security is of paramount importance. However, writing secure smart contracts can be extremely difficult: due to the openness of Ethereum, both programs and pseudonymous users can call into the public methods of other programs, leading to potentially dangerous compositions of trusted and untrusted code. This risk was recently illustrated by an attack on TheDAO contract that exploited subtle details of the EVM semantics to transfer roughly $50M worth of Ether into the control of an attacker.
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Cited by
A Survey of Attacks on Ethereum Smart Contracts (SoK)
Atzei, N., Bartoletti, M., & Cimoli, T. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-662-54455-6_8 · Cited by 1,553
ContractFuzzer: fuzzing smart contracts for vulnerability detection
Jiang, B., Liu, Y., & Chan, W. K. (2018) · Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering · doi:10.1145/3238147.3238177 · Cited by 820
An Empirical Analysis of Smart Contracts: Platforms, Applications, and Design Patterns
Bartoletti, M., & Pompianu, L. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-70278-0_31 · Cited by 458
Empirical review of automated analysis tools on 47,587 Ethereum smart contracts
Durieux, T., Ferreira, J. F., Abreu, R., & Cruz, P. (2020) · Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering · doi:10.1145/3377811.3380364 · Cited by 409
Decentralized autonomous organizations: concept, model, and applications
Wang, S., Ding, W., Li, J., Yuan, Y., Ouyang, L., & Wang, F.-Y. (2019) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2019.2938190 · Cited by 390
Metadata
- Authors
- Bhargavan, K., Delignat-Lavaud, A., Fournet, C., Gollamudi, A., Gonthier, G., Kobeissi, N., Kulatova, N., Rastogi, A., Sibut-Pinote, T., Swamy, N., & Zanella-Béguelin, S.
- Venue
- Proceedings of the 2016 ACM Workshop on Programming Languages and Analysis for Security
- Publisher
- ACM
- Published
- 2016-10-24
- Pages
- 91-96
- OpenAlex
- W2538848838
- Cited by
- 626
- References
- 0
- FWCI
- 51.57
- Type
- conference paper
- Language
- en
- Open access
- gold
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- The paper
- Bhargavan, K., Delignat-Lavaud, A., Fournet, C., Gollamudi, A., Gonthier, G., Kobeissi, N., Kulatova, N., Rastogi, A., Sibut-Pinote, T., Swamy, N., & Zanella-Béguelin, S. (2016). Formal Verification of Smart Contracts: Short Paper. Proceedings of the 2016 ACM Workshop on Programming Languages and Analysis for Security. https://doi.org/10.1145/2993600.2993611
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
