SmartSecLab / ENViSEC
AI-enabled Cybersecurity for Future Smart Environments
☆21Updated 6 months ago
Alternatives and similar repositories for ENViSEC:
Users that are interested in ENViSEC are comparing it to the libraries listed below
- Machine Learning For Cybersecurity.☆64Updated 5 years ago
- Use machine learning to classify malware. Malware analysis 101. Set up a cybersecurity lab environment. Learn how to tackle data class im…☆16Updated 4 years ago
- Machine learning on knowledge graphs for context-aware security monitoring (data and model)☆17Updated 2 years ago
- Awesome list of AI for cybersecurity including network (network traffic analysis and intrusion detection), endpoint (anti-malware), appli…☆125Updated last year
- Pre-processing NSL-KDD dataset using Data mining techniques. Algorithm written in python to detect the attacks in NSL KDD dataset.☆25Updated 5 years ago
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆203Updated 9 months ago
- Detection of network traffic anomalies using unsupervised machine learning☆24Updated 3 years ago
- This is a five-step framework for the development of intrusion detection systems (IDS) using machine learning (ML) considering model real…☆49Updated 2 years ago
- Network related services, programs and applications are developing greatly, however, network security breaches are also developing with t…☆20Updated 3 years ago
- Apply modern, deep learning techniques for anomaly detection to identify network intrusions.☆39Updated 2 months ago
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆62Updated 5 years ago
- Extracting Attack Behavior from Threat Reports☆76Updated last year
- Developed an Anomaly-based intrusion detection system using Multi Level Perceptron☆20Updated 4 years ago
- AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset☆70Updated 3 years ago
- Hands-On Artificial Intelligence for Cybersecurity, publised by Packt☆146Updated 2 years ago
- NLP model and tech for cyber security tasks☆85Updated last year
- This project is Malware detection API using ML and CNN techniques☆23Updated last year
- ☆15Updated 8 years ago
- Source codes used on the academic paper, "A Lightweight IoT Cryptojacking Detection Mechanism in Heterogeneous Smart Home Networks".☆10Updated 2 years ago
- A machine learning based Intrusion Detection System☆132Updated 5 years ago
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆19Updated 4 years ago
- ☆12Updated last year
- Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).☆64Updated last year
- AttacKG: Constructing Knowledge-enhanced Attack Graphs from Cyber Threat Intelligence Reports☆148Updated last year
- Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.☆32Updated 7 months ago
- IoT Attack Detection with machine learning☆23Updated 7 months ago
- Adversarial Machine Learning applications on network-based Intrusion Detection System (IDS).☆24Updated 4 years ago
- Cyber Attack Detection thanks to Machine Learning Algorithms☆101Updated 5 years ago
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆134Updated last year
- pretrained BERT model for cyber security text, learned CyberSecurity Knowledge☆170Updated last year