Research Article
SESCon: Secure Ethereum Smart Contracts by Vulnerable Patterns’ Detection
Table 2
Accuracy results against standard vulnerabilities.
| | Models | Precision | Recall | F1-score |
| | Solhint [42] | 0.5263 | 0.5263 | 0.5263 | | Securify [9] | 0.6956 | 0.6956 | 0.6956 | | SmartCheck [13] | 0.6153 | 0.6153 | 0.6153 | | Slither [11] | 0.7777 | 0.7777 | 0.7777 | | SESCon | 0.8918 | 0.8918 | 0.8918 |
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