Detection of vulnerabilities in blockchain smart contracts using deep learning

Author:

Gupta Namya Aankur,Bansal Mansi,Sharma Seema,Mehrotra DeeptiORCID,Kakkar Misha

Publisher

Springer Science and Business Media LLC

Reference44 articles.

1. Samreen, N., Fatima, & Manar, H. (2022). Alalfi. VOLCANO: Detecting vulnerabilities of Ethereum Smart contracts using code clone analysis. arXiv preprint arXiv:2203.00769 (.

2. Zhang, Y. (2022). Toward vulnerability detection for Ethereum Smart contracts using graph-matching network. Future Internet, 14(11), 326.

3. Huang, J., et al. (2022). Smart contract vulnerability detection model based on multi-task learning. Sensors (Basel, Switzerland), 22(5), 1829.

4. Lutz, O., Chen, H., Fereidooni, H., Sendner, C., Dmitrienko, A., Sadeghi, A., & Koushanfar, F. (2021, March 23). Escort: Ethereum Smart Contracts Vulnerability Detection using deep neural network and transfer learning. Retrieved from https://arxiv.org/abs/2103.12607.

5. Zhuang, Y. (2020). Smart Contract Vulnerability Detection using Graph Neural Network. IJCAI.

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