dfki-in / NASIM-MTDLinks
Deception and Moving Target Defense with Network Attack Simulation Paper Code
☆13Updated 2 years ago
Alternatives and similar repositories for NASIM-MTD
Users that are interested in NASIM-MTD are comparing it to the libraries listed below
Sorting:
- Developed a Moving Target Defense mechanism to prevent IP scanning from inside & outside the network. Controlled the packet flow in a SDN…☆28Updated 7 years ago
- Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and…☆24Updated 6 years ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆13Updated 3 years ago
- This repository consists of python codes that performs attack classification based on the KDD and CIDDS dataset using CNN, LSTM-RNN and H…☆23Updated 2 years ago
- A prototype for an architecture that uses Machine Learning to detect abnormalities in the SDN network packet flow, built by Ryu SDN and m…☆12Updated 2 years ago
- Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port an…☆40Updated 7 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…☆10Updated last year
- ☆19Updated 3 years ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆23Updated 3 years ago
- Deep learning models for network intrusion detection☆39Updated 2 years ago
- A project from EECS6414M of Winter 2020 at York University☆11Updated 5 years ago
- Journal Article: International Journal of Information Technology☆12Updated 2 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆46Updated 11 months ago
- An SDN based security system for Botnet based DDoS attacks.☆15Updated 10 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated 2 years ago
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆23Updated 4 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆12Updated last year
- Contact: Alexander Hartl, Maximilian Bachl, Fares Meghdouri. Explainability methods and Adversarial Robustness metrics for RNNs for Intru…☆18Updated 4 years ago
- In this work, we aim at developing a NIDS (Network Intrusion Detection System) that detects attacks targeting SCADA systems, in a concret…☆70Updated 2 years ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆13Updated 2 years ago
- Software Defined Network traffic classification☆21Updated 4 years ago
- 论文Encrypted Traffic Classification with One-dimensional Convolution Neural Networks的torch实现☆37Updated 2 years ago
- Intrusion detection system using CNN and RNN☆24Updated 5 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆26Updated 4 years ago
- This repository describes the demonstration of encrypted network traffic classification in SDN environment. A testbed is created using Mi…☆24Updated 2 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- The work in paper "An AI-based Traffic Matrix Prediction Solution for Software-Defined Network" - Duc-Huy LE, Hai Anh TRAN, Sami SOUIHI, …☆40Updated 3 years ago
- CICIDS2017 dataset☆71Updated 3 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago