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Cyber Attack Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/GuansongPang/deviation-network

공식 코드

Deep Anomaly Detection with Deviation Networks

https://github.com/western-oc2-lab/intrusion-detection-system-using-cnn-and-transfer-learning

공식 코드

A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles

https://github.com/AbertayMachineLearningGroup/machine-learning-SIEM-water-infrastructure

Improving SIEM for Critical SCADA Water Infrastructures Using Machine Learning

https://github.com/Ryosaeba8/Anomaly_detection

Deep Anomaly Detection with Deviation Networks

https://github.com/antoinedelplace/Cyberattack-Detection

Cyber Attack Detection thanks to Machine Learning Algorithms

https://github.com/jackaduma/NLP4CyberSecurity

Cyber Attack Detection thanks to Machine Learning Algorithms

https://github.com/mnecipkurt/tsg19

Online Cyber-Attack Detection in Smart Grid: A Reinforcement Learning Approach

https://github.com/robeespi/Deep-Semi-supervised-intrusion-detection-on-Hadoop-distributed-file-system-log

Deep Anomaly Detection with Deviation Networks

https://github.com/robeespi/Deep-Semi-supervised-intrusion-detection-on-unstructured-Hadoop-distributed-file-system-logs

Deep Anomaly Detection with Deviation Networks

https://github.com/robeespi/Weakly-Supervised-Malware-Detection

Deep Anomaly Detection with Deviation Networks

https://github.com/sbahadoripour/A-Deep-Multi-modal-cyber-attack-detection

A Deep Multi-Modal Cyber-Attack Detection in Industrial Control Systems

https://github.com/xuhongzuo/DeepOD

Deep Anomaly Detection with Deviation Networks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.