ole-knf / A-bidirectional-GPT-approach-for-detecting-malicious-network-trafficLinks
This approach of Intrusion Detection uses two GPT models, which are trained on normal network traffic, to predict sequences of communication patterns and thereby score network packets.
☆11Updated 2 years ago
Alternatives and similar repositories for A-bidirectional-GPT-approach-for-detecting-malicious-network-traffic
Users that are interested in A-bidirectional-GPT-approach-for-detecting-malicious-network-traffic are comparing it to the libraries listed below
Sorting:
- source code for USENIX Security paper xNIDS☆56Updated last year
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆65Updated 5 years ago
- This is a Python version of CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) - an Ethernet traffic Bi-flow generator and analyzer for …☆78Updated 4 years ago
- A curation of awesome papers, datasets and tools about network traffic analysis.☆118Updated 2 months ago
- ☆31Updated last year
- Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic☆59Updated 10 months ago
- ☆94Updated 2 years ago
- ☆80Updated 10 months ago
- Flow Interaction Graph based attack traffic detection system.☆178Updated last year
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆17Updated 2 years ago
- The repository of TrafficLLM, a universal LLM adaptation framework to learn robust traffic representation for all open-sourced LLM in rea…☆371Updated 3 weeks ago
- Evading Provenance-Based ML Detectors with Adversarial System Actions☆33Updated last year
- Code for the AAAI'23 paper "Yet Another Traffic Classifier: A Masked Autoencoder Based Traffic Transformer with Multi-Level Flow Represen…☆124Updated last year
- Traffic analysis for Tor-based malware detection and classification☆42Updated 2 years ago
- Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from …☆78Updated 5 months ago
- A tunneled flooding traffic detection system.☆29Updated 11 months ago
- This resource mainly counts papers related to APT attacks, including APT traceability, APT knowledge graph construction, APT malicious sa…☆218Updated last year
- This project aims to analyze and classify a real network traffic dataset to detect malicious/benign traffic records. It compares and tune…☆24Updated last year
- ☆155Updated 2 years ago
- DNN-Ensemble IDS is a machine learning based classification model for intrusion detection exploiting ensembles of classifiers.☆12Updated 4 years ago
- Efficient Network Traffic Classification via Pre-training Unidirectional Mamba☆142Updated 8 months ago
- Materials about Encrypted Traffic Analysis☆276Updated last week
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆73Updated 3 years ago
- One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning☆50Updated last year
- 此仓库代码为本人参加的CCF-BDCI-2022 赛道：Web攻击检测与分类识别 (多分类任务)，比赛rank-23。队员：Furen Xu☆16Updated 2 years ago
- Flash-IDS is an open-source system developed by the DART Laboratory for advanced intrusion detection using provenance graph representatio…☆86Updated last year
- APT-KGL: An Intelligent APT Detection System Based on Threat Knowledge and Heterogeneous Provenance Graph Learning☆75Updated 3 years ago
- 网络流量领域工具库、公开数据集及加密流量解析方法☆89Updated 2 years ago
- This repository contains an in-depth analysis of the Intrusion Detection Evaluation Dataset (CIC-IDS2017) for Intrusion Detection, showca…☆94Updated 2 years ago
- Journal Article: Telematics and Informatics Reports☆11Updated 2 years ago