ids2018

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whyisyoung / CADE

Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications

machine-learning tensorflow keras artificial-intelligence ids autoencoder mlp explanation concept-drift interpretability explainable-ai explainable-ml xai machine-learning-security drebin self-supervised-learning contrastive-learning ids2018

Updated Mar 25, 2023
Python

Bil369 / IDS2018-DDoS-Traffic-Classify

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基于IDS 2018数据集使用LightGBM和XGBoost实现DDoS流量分类 sFlow RT&Mininet流量采集与分类杭电综合项目实践

ddos xgboost lightgbm mininet network-traffic-classification sflow-rt ids2018

Updated Dec 25, 2020
Jupyter Notebook

MNadeemYousaf / DriftTrace-Combating-Concept-Drift-in-Security-Applications---ReproductionStudy

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We have reproduced the research paper named: DriftTrace: Combating Concept Drift in Security Applications Through Detection and Explanation published in 2026 in IEEE Transactions on Information Forensics and Security

cybersecurity intrusion-detection concept-drift explainability contrastive-learning ids2018 drifttrace

Updated Aug 11, 2026
Python

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