akafengfeng / AI-SecurityLinks
This is a paper list about Machine Learning for IDSes
☆90Updated last year
Alternatives and similar repositories for AI-Security
Users that are interested in AI-Security are comparing it to the libraries listed below
Sorting:
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆144Updated 2 years ago
- Original implementation and resources of DeepCASE as in the S&P '22 paper☆95Updated 2 years ago
- Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017☆128Updated 7 years ago
- AEIDS is a prototype of anomaly-based intrusion detection system which works by remembering the pattern of legitimate network traffic usi…☆14Updated 5 years ago
- ☆27Updated 2 years ago
- KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.☆245Updated last year
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆109Updated last year
- A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)☆357Updated last year
- ISCXFlowMeter is an Ethernet traffic flow generator and analyzer for anomaly detection which has been used in different network security …☆76Updated last year
- NSL-KDD Dataset☆193Updated 10 years ago
- This repository contains the code used and developed during a master thesis at DTU Compute in 2018☆43Updated 7 years ago
- A set of methods to enable traffic classification using randomness tests. We also add an automated database creation algorithm.☆17Updated 4 years ago
- Material from the DARPA Transparent Computing Program☆209Updated 5 years ago
- [TDSC 2021] IntruSion alert-driven Attack Graph Extractor. https://ieeexplore.ieee.org/document/9557854☆39Updated last year
- FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data☆28Updated 3 years ago
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆73Updated 3 years ago
- This program allow you to extract some features from pcap files.☆40Updated 2 years ago
- Network data classifier based on the recurrent neural network.☆20Updated 6 years ago
- Code of "MalDetect: A Structure of Encrypted Malware Traffic Detection"☆16Updated 6 years ago
- Source code for our NDSS'18 paper "Automated Website Fingerprinting through Deep Learning"☆108Updated 2 years ago
- ☆71Updated 2 years ago
- Encrypted Traffic Classification using Deep Learning☆48Updated 7 years ago
- Utility for extraction of subset of KDD '99 features from realtime network traffic or .pcap file☆120Updated 5 years ago
- Machine-learning-based intrusion detection☆39Updated 7 years ago
- Network traffic classifier based on machine learning algorithms☆47Updated 3 years ago
- IoT SENTINEL : Automated Device-Type Identification for Security Enforcement in IoT with Machine Learning☆43Updated 6 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆57Updated 2 years ago
- Use deep learning to classify the malicious traffic, and use TensorFlow2.0 to carry out it.☆41Updated 5 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 5 years ago
- nPrint provides a generalizable data representation for network packets that works directly with machine learning techniques☆119Updated 3 years ago