Intelligence-Driven Optimization of Smart Contracts
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-0127-9_4
Reference34 articles.
1. Atzei, N., Bartoletti, M., & Cimoli, T. (2017). A survey of attacks on ethereum smart contracts (SoK). In M. Maffei & M. Ryan (Eds.), Principles of security and trust (pp. 164–186). Berlin: Springer. ISBN 978-3-662-54455-6.
2. Bartoletti, M., Carta, S., Cimoli, T., & Saia, R. (2017). Dissecting Ponzi schemes on Ethereum: identification, analysis, and impact. ArXiv e-prints.
3. Baxter, I. D., Yahin, A., Moura, L., Sant’Anna, M., & Bier, L. (1998). Clone detection using abstract syntax trees. In Proceedings of the International Conference on Software Maintenance, ICSM ’98 (pp. 368–). Washington, DC, USA :IEEE Computer Society. ISBN 0-8186-8779-7. https://dl.acm.org/citation.cfm?id=850947.853341
4. Chen, T., Li, X., Luo, X., & Zhang, X. (2017). Under-optimized smart contracts devour your money. In 2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) (pp. 442–446). https://doi.org/10.1109/SANER.2017.7884650
5. Chen, T., Li, X., Wang, Y., Chen, J., Li, Z., Luo, X., et al. (2017). An adaptive gas cost mechanism for ethereum to defend against under-priced dos attacks. In J. K. Liu & P. Samarati (Eds.), Information Security Practice and Experience (pp. 3–24)/ Cham: Springer International Publishing. ISBN 978-3-319-72359-4.
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