Computer Science
零日入侵检测系统
Zero-Day Intrusion Detection SystemA security framework designed to identify and mitigate previously unknown cyber threats (zero-day attacks) by utilizing advanced data augmentation and ensemble learning techniques on limited datasets. / 一种利用高级数据增强和集成学习技术在有限数据集上训练，以识别和缓解未知网络威胁（零日攻击）的安全框架。
- Knowledge type
- 实际应用
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-08 07:58:11
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Main parameters and performance indicators
Small Datasets: The limited training data available for the model.Advanced Data Augmentation: Techniques to artificially expand the dataset.Ensemble Learning: Combining multiple models to improve detection accuracy.
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Related literature
ranked by community starsZero-Day Intrusion Detection System: Training on Small Datasets with Advanced Data Augmentation and Ensemble LearningOpen source
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1 recordsRecord title: Zero-Day Intrusion Detection System.
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