Detecting unknown vulnerabilities in smart contracts using opcode sequences
Unknown vulnerabilities, also known as zero-day vulnerabilities, are vulnerabilities in software, systems, or networks that have not yet been publicly disclosed or fixed. If these vulnerabilities are ever discovered by hackers, intentionally or unintentionally, they pose a major threat to network se...
Saved in:
| Main Authors: | Peiqiang Li, Guojun Wang, Xiaofei Xing, Xiangbin Li, Jinyao Zhu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | Connection Science |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/09540091.2024.2313853 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An elegant intellectual engine towards automation of blockchain smart contract vulnerability detection
by: Balachandar Raju, et al.
Published: (2025-07-01) -
Blockchain smart contract vulnerability detection based on GR algorithm
by: WANG Deguang, et al.
Published: (2025-04-01) -
Unveiling smart contract vulnerabilities: Toward profiling smart contract vulnerabilities using enhanced genetic algorithm and generating benchmark dataset
by: Sepideh HajiHosseinKhani, et al.
Published: (2025-06-01) -
SmartLLMSentry: A Comprehensive LLM Based Smart Contract Vulnerability Detection Framework
by: Oualid Zaazaa, et al.
Published: (2024-12-01) -
Vulnerability detection method for blockchain smart contracts based on metamorphic testing
by: Jinfu CHEN, et al.
Published: (2023-10-01)