BKCS-HUST / LSTM-MILinks
A LSTM based framework for handling multiclass imbalance in DGA botnet detection
☆22Updated 4 years ago
Alternatives and similar repositories for LSTM-MI
Users that are interested in LSTM-MI are comparing it to the libraries listed below
Sorting:
- This program allow you to extract some features from pcap files.☆40Updated 2 years ago
- I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.…☆41Updated 6 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆38Updated 8 years ago
- IDS abnormal traffic detection tensorflow☆40Updated 5 years ago
- ISCXFlowMeter is an Ethernet traffic flow generator and analyzer for anomaly detection which has been used in different network security …☆74Updated last year
- 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.☆25Updated 4 years ago
- This is a Python version of CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) - an Ethernet traffic Bi-flow generator and analyzer for …☆73Updated 4 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆45Updated 9 months ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago
- This is a paper list about Machine Learning for IDSes☆89Updated 10 months ago
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆280Updated last year
- Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for …☆88Updated 5 years ago
- Implementation realized for my master thesis on "Botnet detection in encrypted traffic - a machine learning approach"☆18Updated 6 years ago
- NSL-KDD Dataset☆188Updated 9 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆156Updated 5 years ago
- Attack graph construction and analysis☆34Updated 6 years ago
- KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.☆241Updated last year
- A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)☆343Updated last year
- Adversarial Machine Learning applications on network-based Intrusion Detection System (IDS).☆25Updated 5 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆126Updated 4 years ago
- manojkumar-github / Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRUAn Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Updated 7 years ago
- CICIDS2017 dataset☆70Updated 3 years ago
- Utility for extraction of subset of KDD '99 features from realtime network traffic or .pcap file☆120Updated 5 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆34Updated 5 years ago
- Deep learning based Intrusion Detection System☆32Updated 5 years ago
- IoT intrusion Detection Model based on neural network and random forests☆46Updated 6 years ago
- Network data classifier based on the recurrent neural network.☆20Updated 6 years ago
- This repository contains the code used and developed during a master thesis at DTU Compute in 2018☆43Updated 7 years ago
- ☆10Updated 6 years ago
- Code for the paper URLNet - Learning a URL Representation with Deep Learning for Malicious URL Detection☆164Updated 4 years ago