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Network Intrusion Detection

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하위 태스크: 0
평가표: 6
보존된 평가 기록: 11

Network intrusion detection is the task of monitoring network traffic to and from all devices on a network in order to detect computer attacks.

코드

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

https://github.com/AbertayMachineLearningGroup/network-threats-taxonomy

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A Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection Systems

https://github.com/Abrar2652/Network-Intrusion-Detection

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CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection

https://github.com/BNN-UPC/GNN-NIDS

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Unveiling the potential of Graph Neural Networks for robust Intrusion Detection

https://github.com/CN-TU/ids-backdoor

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EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion Detection

https://github.com/CN-TU/machine-learning-in-ebpf

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A flow-based IDS using Machine Learning in eBPF

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

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Deep Anomaly Detection with Deviation Networks

https://github.com/RussellTNY/PPO-optimized-Tab-Transformer-for-NIDS-on-TON_IoT

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A Robust PPO-optimized Tabular Transformer Framework for Intrusion Detection in Industrial IoT Systems

https://github.com/SNL-UCSB/netFound

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netFound: Foundation Model for Network Security

https://github.com/abdelmageed95/Synthesis-of-Adversarial-DDos-Attacks-Using-Tabular-Generative-Adversarial-Networks

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Synthesis of Adversarial DDOS Attacks Using Tabular Generative Adversarial Networks

https://github.com/andreacorsini1/cyberood

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Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection?

https://github.com/andreaventuri01/Structural_attacks_GNN_NIDS

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Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks

https://github.com/bingleilou/PolyLUT-Add

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PolyLUT-Add: FPGA-based LUT Inference with Wide Inputs

https://github.com/bit-ml/anoshift

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AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection

https://github.com/c2dc/ab-trap

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Bridging the gap to real-world for network intrusion detection systems with data-centric approach

https://github.com/dino-chiio/fedmse

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FedMSE: Federated learning for IoT network intrusion detection

https://github.com/donghao51/nng-mix

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NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation

https://github.com/dreizehnutters/pcapae

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Representation Learning for Content-Sensitive Anomaly Detection in Industrial Networks

https://github.com/ghosh64/transferability

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A Study on Transferability of Deep Learning Models for Network Intrusion Detection

https://github.com/haoyfan/AnomalyDAE

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AnomalyDAE: Dual autoencoder for anomaly detection on attributed networks

https://github.com/hihey54/pragmaticassessment

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SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection

https://github.com/hiyouga/llama-efficient-tuning

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Large Language Models for Cyber Security: A Systematic Literature Review

https://github.com/kahramankostas/IoTGeM

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IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection

https://github.com/kahramankostas/heriot

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IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection

https://github.com/labsaint/tsi-gan

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TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks

https://github.com/lamsieh/DQN

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Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion Detection

https://github.com/liamdm/flowtransformer

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FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems

https://github.com/mamerzouk/adversarial-purification

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Diffusion-based Adversarial Purification for Intrusion Detection

https://github.com/marcocantone/lycos-unicas-ids2018

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On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection

https://github.com/martaandronic/polylut

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PolyLUT: Learning Piecewise Polynomials for Ultra-Low Latency FPGA LUT-based Inference

https://github.com/ogarreche/xai_feature_selection

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XAI-based Feature Selection for Improved Network Intrusion Detection Systems

https://github.com/ogarreche/xai_whitebox

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A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security

https://github.com/othmbela/dbn-based-nids

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An Intrusion Detection System based on Deep Belief Networks

https://github.com/pajola/xenids

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The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems

https://github.com/pingayush/INTELLIGUARD-Enhancing-Network-Security

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Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion Detection

https://github.com/racsa-lab/EDD

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Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network

https://github.com/rahul110228/VenturasTest

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SCGNet-Stacked Convolution with Gated Recurrent Unit Network for Cyber Network Intrusion Detection and Intrusion Type Classification

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