Honeypot contract detection of blockchain based on deep learning
Aiming at the problems of low accuracy of current detection methods and poor generalization of model, a honeypot contract detection method based on KOLSTM deep learning model was proposed.Firstly, by analyzing the characteristics of honeypot contract, the concept of key opcode was proposed, and a ke...
Saved in:
| Main Authors: | Hongxia ZHANG, Qi WANG, Dengyue WANG, Ben WANG |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2022-01-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022011/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Empirical Analysis of Vulnerabilities in Blockchain-based Smart Contracts
by: Dr. Kashif Mehboob Khan, et al.
Published: (2022-06-01) -
SCH-Hunter: A Taint-Based Hybrid Fuzzing Framework for Smart Contract Honeypots
by: Haoyu Zhang, et al.
Published: (2025-05-01) -
A blockchain based deep learning framework for a smart learning environment
by: Shimaa Ouf, et al.
Published: (2025-06-01) -
Detecting Rug-Pull: Analyzing Smart Contract Backdoor Codes in Ethereum
by: Kwan Woo Yu, et al.
Published: (2025-01-01) -
Ethereum Smart Contracts Under Scrutiny: A Survey of Security Verification Tools, Techniques, and Challenges
by: Mounira Kezadri Hamiaz, et al.
Published: (2025-06-01)