DBC-MulBiLSTM: A DistilBERT-CNN Feature Fusion Framework enhanced by multi-head self-attention and BiLSTM for smart contract vulnerability detection

Shujiang Xu; Haochen He; Miodrag J. Mihaljević; Shuhui Zhang; Wei Shao; Qizheng Wang

doi:10.1016/j.compeleceng.2025.110096

ScienceGate Book Chapters

JOURNAL ARTICLE

DBC-MulBiLSTM: A DistilBERT-CNN Feature Fusion Framework enhanced by multi-head self-attention and BiLSTM for smart contract vulnerability detection

Shujiang Xu Haochen He Miodrag J. Mihaljević Shuhui Zhang Wei Shao Qizheng Wang

Year: 2025 Journal: Computers & Electrical Engineering Vol: 123 Pages: 110096-110096 Publisher: Elsevier BV

DOI: 10.1016/j.compeleceng.2025.110096

Get Full-Text PDF Get Analytical Report

Keywords:

Vulnerability (computing) dBc Computer science Feature (linguistics) Head (geology) Artificial intelligence Pattern recognition (psychology) Computer security Biology Operating system

Metrics

Cited By

28.99

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Blockchain Technology Applications and Security

Physical Sciences → Computer Science → Information Systems

Cybercrime and Law Enforcement Studies

Physical Sciences → Computer Science → Information Systems

DBC-MulBiLSTM: A DistilBERT-CNN Feature Fusion Framework enhanced by multi-head self-attention and BiLSTM for smart contract vulnerability detection

Metrics

Citation History

Topics

Related Documents

An attention-based CNN-BiLSTM model for smart contract vulnerability detection

Poster:Research on multi-feature fusion false review detection based on DistilBERT-BiLSTM-CNN

Multimodal Feature Fusion Framework for Smart Contract Vulnerability Detection

SC-CCA: A Deep Learning Framework for Smart Contract Vulnerability Detection Based on CNN, BiLSTM, and Self-Attention Mechanism

A Heterogeneous Graph and Multi-Feature Fusion Based Framework for Smart Contract Vulnerability Detection