slrbl / malicious-urls-detection-with-autoencoder-neural-networksLinks
Detecting malicious URLs using an autoencoder neural network
☆41Updated 3 years ago
Alternatives and similar repositories for malicious-urls-detection-with-autoencoder-neural-networks
Users that are interested in malicious-urls-detection-with-autoencoder-neural-networks are comparing it to the libraries listed below
Sorting:
- Code for the paper URLNet - Learning a URL Representation with Deep Learning for Malicious URL Detection☆167Updated 4 years ago
- Machine Learning Based Botnet Detection is a tool to classify network traffic as being botnet affected or not based on the network traffi…☆67Updated 4 years ago
- Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.☆158Updated last week
- Machine Learning Models to Detect and Classify Malicious URLs☆53Updated 2 years ago
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆71Updated 6 years ago
- A method for grouping, clustering, and merging semi-structured alerts☆24Updated 10 months ago
- Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification☆173Updated 2 years ago
- Extracting Attack Behavior from Threat Reports☆78Updated 2 years ago
- [TDSC 2021] IntruSion alert-driven Attack Graph Extractor. https://ieeexplore.ieee.org/document/9557854☆39Updated last year
- Malicious Web Sites Detection using Suspicious URL☆75Updated 5 years ago
- NLP model and tech for cyber security tasks☆88Updated 2 years ago
- AI: Deep Learning for Phishing URL Detection☆53Updated 2 years ago
- User and Entity Behavior Analytics by deep learning☆117Updated 4 years ago
- A machine learning based Intrusion Detection System☆151Updated 5 years ago
- The project is to detect malware traffic in TLS flows using ML☆35Updated 5 years ago
- Original implementation and resources of DeepCASE as in the S&P '22 paper☆95Updated 2 years ago
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆143Updated 6 years ago
- Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for …☆91Updated 5 years ago
- Network data classifier based on the recurrent neural network.☆20Updated 6 years ago
- Attempt to use the machine learning workflow to process and transform sampled PE file data to create a prediction model.☆40Updated 4 years ago
- An IDS implementation using machine learning☆38Updated 8 years ago
- Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately networ…☆105Updated 5 years ago
- This is a paper list about Machine Learning for IDSes☆90Updated last year
- Applying text model to Detection Task☆74Updated 8 years ago
- I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.…☆42Updated 7 years ago
- Full pipeline for log analysis and anomaly detection.☆16Updated 5 years ago
- Machine learning to classify Malicious (Spam)/Benign URL's☆133Updated 4 years ago
- Leveraging machine learning to detect TLS based malware in encrypted traffic without decryption☆39Updated 5 years ago
- ☆27Updated 2 years ago
- Intrusion Detection Systems (IDSs) and Intrusion Prevention Systems (IPSs) are the most important defense tools against the sophisticated…☆22Updated 4 years ago