Title:
DEEP LEARNING-BASED SMART CONTRACT VULNERABILITY DETECTION METHOD
Document Type and Number:
WIPO Patent Application WO/2021/114093
Kind Code:
A1
Abstract:
A deep learning-based smart contract vulnerability detection method, comprising the following steps: 1) a learning and training stage: processing a smart contract code, and selecting an appropriate neural network for training; and 2) a detection stage: processing the code required to be detected, inputting the code to the trained neural network for detection, and obtaining a result. In this vulnerability detection method, vulnerability detection is performed by means of a deep learning method, automation is achieved, and the efficiency is improved.
Inventors:
WANG RUI (CN)
YE KEJIANG (CN)
XU CHENGZHONG (CN)
YE KEJIANG (CN)
XU CHENGZHONG (CN)
Application Number:
PCT/CN2019/124326
Publication Date:
June 17, 2021
Filing Date:
December 10, 2019
Export Citation:
Assignee:
SHENZHEN INST OF ADV TECH CAS (CN)
International Classes:
G06F11/36
Foreign References:
| CN107885999A | 2018-04-06 | |||
| CN109657473A | 2019-04-19 | |||
| CN110543419A | 2019-12-06 | |||
| US20160057159A1 | 2016-02-25 | |||
| CN109933991A | 2019-06-25 |
Attorney, Agent or Firm:
BEIJING CHENGHUI LAW FIRM (CN)
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