TOWARDS SECURE SMART CONTRACTS: A DEEP LEARNING APPROACH FOR DETECTING SECURITY THREATS
Ph.D
Saved in:
Main Author: | TAMER ABDELAZIZ ABDELMEGID MOHAMED |
---|---|
Other Authors: | COMPUTATIONAL SCIENCE |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/247301 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
Smart Learning to Find Dumb Contracts
by: Tamer Abdelaziz, et al.
Published: (2023) -
Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models
by: Qian, P., et al.
Published: (2021) -
Towards securing smart contracts systematically
by: NGUYEN, Duy Tai
Published: (2023) -
SGUARD: Towards fixing vulnerable smart contracts automatically
by: NGUYEN, Tai D., et al.
Published: (2021) -
MANDO-GURU: vulnerability detection for smart contract source code by heterogeneous graph embeddings
by: NGUYEN, Huu Hoang, et al.
Published: (2022)