Intrusion-Detection-System-Using-Machine-Learning and IoT-Network-Intrusion-Detection-System-UNSW-NB15

Intrusion-Detection-System-Using-Machine-Learning
53
Established
IoT-Network-Intrusion-Detection-System-UNSW-NB15
48
Emerging
Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 22/25
Stars: 573
Forks: 155
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 197
Forks: 51
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Intrusion-Detection-System-Using-Machine-Learning

Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

This project helps cybersecurity professionals and network engineers identify cyber-attacks in connected vehicle networks. It takes network traffic data as input and outputs classifications of known or unknown intrusion attempts. The end-user persona is likely a security analyst or an operations engineer responsible for securing Internet of Vehicles (IoV) infrastructure.

vehicular-cybersecurity intrusion-detection network-monitoring automotive-security iot-security

About IoT-Network-Intrusion-Detection-System-UNSW-NB15

abhinav-bhardwaj/IoT-Network-Intrusion-Detection-System-UNSW-NB15

Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset

This project helps operations engineers or cybersecurity analysts monitor IoT network traffic to detect and classify cyberattacks. It takes raw network data from an IoT environment, processes it, and then identifies if traffic is normal or abnormal. If abnormal, it further categorizes the specific type of attack (e.g., Denial of Service, Exploits).

IoT Security Network Monitoring Cyberattack Detection Smart City Infrastructure Threat Intelligence

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