Anomaly-detection-using-Explainable-AI
Public本项目利用机器学习算法,结合可解释人工智能 (XAI) 技术,对加密网络流量进行异常检测。我们采用 SHAP (SHapley Additive Explanations) 方法来解释模型的决策,提高恶意活动检测的透明度。该系统旨在识别加密流量中的可疑模式。
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本项目利用机器学习算法,结合可解释人工智能 (XAI) 技术,对加密网络流量进行异常检测。我们采用 SHAP (SHapley Additive Explanations) 方法来解释模型的决策,提高恶意活动检测的透明度。该系统旨在识别加密流量中的可疑模式。