dfki-in-sec / NASIM-MTD
Deception and Moving Target Defense with Network Attack Simulation Paper Code
☆12Updated 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 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
- ☆9Updated 3 years ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- 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…☆14Updated 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
- An SDN based security system for Botnet based DDoS attacks.☆15Updated 9 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
- 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
- ☆19Updated 3 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…☆14Updated 2 years ago
- harshilpatel1799 / IoT-Network-Intrusion-Detection-and-Classification-using-Explainable-XAI-Machine-LearningThe continuing increase of Internet of Things (IoT) based networks have increased the need for Computer networks intrusion detection sys…☆51Updated 4 years ago
- 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
- Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Te…☆16Updated 2 years ago
- ☆11Updated 5 months ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆22Updated 3 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated last year
- Code for the case study presented in "Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Sys…☆25Updated 4 years ago
- A Deep Reinforcement Learning Approach For Software-Defined Networking Routing Optimisation☆10Updated 6 months ago
- Detection of IoT devices infected by malwares from their network communications, using federated machine learning☆39Updated last year
- The work in paper "An AI-based Traffic Matrix Prediction Solution for Software-Defined Network" - Duc-Huy LE, Hai Anh TRAN, Sami SOUIHI, …☆39Updated 3 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
- ☆12Updated 5 years ago
- ☆15Updated 2 years ago
- Modern and future vehicles are complex cyber-physical sys-tems. The connection to their outside environment raises many securityproblems …☆19Updated 4 years ago
- ☆38Updated 3 years ago
- Correlation Aware DDoS Detection In IoT Systems☆9Updated last year
- Journal Article: Telematics and Informatics Reports☆12Updated last year