LEGF-DST: LLMs-Enhanced Graph-Fusion Dual-Stream Transformer for Fine-Grained Chinese Malicious SMS Detection
With the widespread use of SMS (Short Message Service), the proliferation of malicious SMS has emerged as a pressing societal issue. While deep learning-based text classifiers offer promise, they often exhibit suboptimal perf... | Find, read and cite all the research you need on Tech Science Press
Authors
- Peng Tian (ORCID: https://orcid.org/0000-0002-8768-0154)
- Jingya Wang
- Ying Yang (ORCID: https://orcid.org/0000-0001-6327-631X)
- Tong Xin (ORCID: https://orcid.org/0000-0002-9016-9680)
- Hongyang Zhai
- Guangming Ling
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2024-12-20
- DOI
- https://doi.org/10.32604/cmc.2024.059018
- Primary Topic
- Spam and Phishing Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fundamental Research Funds for the Central Universities