在当前的数字时代，随着网络攻击日益复杂和频繁，网络安全成为了保障信息安全的重中之重。尤其是在网络入侵检测领域，传统的基于规则的检测方法已经难以应对日新月异的攻击技术。因此，利用深度学习技术进行网络入侵检测成为了研究的新趋势。本项目旨在开发一种基于卷积神经网络（CNN）和Transformer的网络入侵检测系统（IntrusionDetectNet），旨在提高检测速度和准确性
active 2024-04-04 → 2024-05-02 (UTC)
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Line chart, 29 days from 2024-04-04 to 2024-05-02. Pushes: 6 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 3 total, peak 1 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Prometheus-INTJ | 6 | 6 | 0 | 0 |
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