dfki-in-sec / 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
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- ☆9Updated 3 years ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆21Updated 3 years ago
- This repo contains the code for the preprint 'Game Theory for Adversarial Attacks and Defenses' (https://arxiv.org/abs/2110.06166v2)☆9Updated 3 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
- 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
- Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and…☆23Updated 6 years ago
- ☆13Updated 5 years ago
- Correlation Aware DDoS Detection In IoT Systems☆9Updated last year
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated last year
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆13Updated last year
- This repository consists of python codes that performs attack classification based on the KDD and CIDDS dataset using CNN, LSTM-RNN and H…☆23Updated last year
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆13Updated 2 years ago
- An SDN based security system for Botnet based DDoS attacks.☆15Updated 9 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆11Updated 10 months ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 8 months ago
- Modern and future vehicles are complex cyber-physical sys-tems. The connection to their outside environment raises many securityproblems …☆19Updated 4 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 last year
- Journal Article: International Journal of Information Technology☆11Updated last year
- Contact: Alexander Hartl, Maximilian Bachl, Fares Meghdouri. Explainability methods and Adversarial Robustness metrics for RNNs for Intru…☆19Updated 4 years ago
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆23Updated 4 years ago
- ☆19Updated 3 years ago
- A project from EECS6414M of Winter 2020 at York University☆11Updated 5 years ago
- Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port an…☆38Updated 6 years ago
- Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Fl…☆15Updated last year
- Deep learning models for network intrusion detection☆36Updated 2 years ago
- Detection of IoT devices infected by malwares from their network communications, using federated machine learning☆40Updated last year
- CANTransfer: Transfer learning based intrusion detection on a controller area network using convolutional LSTM network☆12Updated 4 years ago
- FL-based intrusion detection system development using model averaging.☆38Updated 2 years ago