zongchuanlin / Network-intrusion-detection-based-on-CNN
Tensorflow环境下,基于CNN算法,KD99与网络数据训练集共3000w数据训练,在19w数据与1w攻检验下,模型准确率为92.8%.
☆62Updated 3 years ago
Alternatives and similar repositories for Network-intrusion-detection-based-on-CNN
Users that are interested in Network-intrusion-detection-based-on-CNN are comparing it to the libraries listed below
Sorting:
- Using Wasserstein Generative Adversarial Network to fool intrusion detection systems (IDS) into believing that malicious traffic is norma…☆74Updated last year
- use sklearn to detect two types of network attacks☆33Updated 5 years ago
- This data set contains flow-based network security data sets extracted from satellite networks and terrestrial networks. We named the dat…☆24Updated 4 years ago
- ☆37Updated 4 years ago
- ☆16Updated 6 months ago
- ☆29Updated 2 months ago
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆46Updated 4 years ago
- Reproduce the code of papers related to the field of NIDS(network intrusion detection system).入侵检测领域的相关论文复现/适配本地PC后的代码.☆26Updated 4 years ago
- A target detector designed for small target pets.☆41Updated last year
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆34Updated 4 years ago
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆109Updated 2 years ago
- alsap_frontend☆23Updated 3 months ago
- DistributedNIDS-Framework is an open-source distributed intrusion detection system, combining the Snort engine with Apache Spark's data p…☆21Updated 5 months ago
- 基于 CNN + LSTM 的网络流量检测☆22Updated 2 years ago
- DNN-Ensemble IDS is a machine learning based classification model for intrusion detection exploiting ensembles of classifiers.☆12Updated 4 years ago
- This is the public code repository for the paper 'Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage …☆9Updated 4 months ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Crack Vigenere Ciphertext using statistic method (Index of Coincidence and Chi-square)☆18Updated last year
- Network Intrusion Detection System(Abnormal Detection)☆11Updated 4 years ago
- ⼀个有潜⼒的⽹络⼊侵检测算法,引⼊了乘法注意⼒机制将其融合到 CNN 的分类模型中,在KDD99和UNSM-NB15数据集进行模型的训练结果优于一般机器学习方法和CNN。A promising network intrusion detection algorithm is…☆11Updated last year
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆30Updated 3 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated 11 months ago
- Intrusion detection system using CNN and RNN☆24Updated 5 years ago
- Deep learning models for network intrusion detection☆35Updated 2 years ago
- Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.☆16Updated 2 years ago
- GLT has presented the first attempt to accelerate GNN inference. Though promising, GLT encounters robustness and generalization issues wh…☆28Updated last year
- The fastest QA system-简单高效的基于TF-IDF的中文问答系统☆28Updated 3 years ago
- Practical Detection of Trojan Neural Networks☆119Updated 4 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago