Contrastive Learning Algorithm for Low-Resource Cryptographic Attack Event Detection

Contrastive Learning Algorithm for Low-Resource Cryptographic Attack Event Detection

The widespread use of the internet has led to frequent cryptographic attack event incidents, which pose various risks, including the leakage of personal information, privacy data, identity theft, and potential legal liabilities. However, conventional event detection models depend on expert-annotated...

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Bibliographic Details
Main Authors: Peng Luo, Rangjia Cai, Yuanbo Guo
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Cryptographic attack event detection
semantic similarity
contrastive learning
low-resource scenarios
Online Access:https://ieeexplore.ieee.org/document/11045891/
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