An Efficient Smart Contracts Event Ordering Vulnerability Detection System Based on Symbolic Execution and Fuzz Testing
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64766-6_28
Reference20 articles.
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2. Tahir, U., Siyal, F., Ianni, M., Guzzo, A., Fortino, G.: Exploiting bytecode analysis for reentrancy vulnerability detection in Ethereum smart contracts. In: 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), Abu Dhabi, United Arab Emirates, pp. 0779–0783 (2023). https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361441
3. Siegel, D.: Understanding the DAO attack (2023). https://www.coindesk.com/understanding-dao-hack-journalists
4. Lecture Notes in Computer Science;N Atzei,2017
5. Sun, J., Huang, S., Zheng, C., Wang, T., Zong, C., Hui, Z.: Mutation testing for integer overflow in Ethereum smart contracts. Tsinghua Sci. Technol. 27(1), 27–40 (2022). https://doi.org/10.26599/TST.2020.9010036
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