Alternatives and similar repositories for CPIP

Users that are interested in CPIP are comparing it to the libraries listed below

• dongtsi / DeepAID
  Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)
  ☆72Updated 3 years ago
• dongtsi / TrafficManipulator
  An automatic packet crafting tool for evading learning-based NIDS
  ☆80Updated 3 years ago
• cx0113 / fine-grained-unknown-attack-detection
  ☆18Updated 4 years ago
• waimorris / Anomal-E
  A PyTorch implementation of of Anomal-E.
  ☆34Updated 2 years ago
• chenxu93 / abnormal-traffic
  IDS abnormal traffic detection tensorflow
  ☆39Updated 5 years ago
• BNN-UPC / GNN-NIDS
  ☆48Updated 3 years ago
• NLear / Flow-MAE
  ☆24Updated last year
• sailorlee97 / FlowGANAnomaly
  This project is an open-source project based on a GAN network anomaly detection.
  ☆13Updated 10 months ago
• zhmhbest / python-nidsdata
  这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。
  ☆47Updated 4 years ago
• GintsEngelen / WTMC2021-Code
  Code for our submission to the WTMC 2021 workshop
  ☆11Updated 3 years ago
• Mobile-Intelligence-Lab / ACID
  Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…
  ☆35Updated 4 years ago
• waimorris / E-GraphSAGE
  A PyTorch implementation of of E-GraphSAGE.
  ☆89Updated 2 years ago
• ANRGUSC / correlation_aware_ddos_iot
  Correlation Aware DDoS Detection In IoT Systems
  ☆9Updated last year
• zhang-hongpo / SGM-CNN
  Our implementations of the flow-based network intrusion detection model (for the COMNET paper)
  ☆46Updated 5 years ago
• amsadeghzadeh / AdversarialNetworkTraffic
  ☆19Updated 4 years ago
• junjieliang672 / FARE
  FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data
  ☆26Updated 3 years ago
• mandersch / RTIDS
  Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al
  ☆22Updated 9 months ago
• shashadehuajiang / trace_classifier
  It is a network traffic classifier based on deep learning.
  ☆46Updated last year
• Rajlaxmi04 / Network-Traffic-Anomaly-Detection-using-PCA-and-BiGAN
  Anomaly Detection using PCA and BiGAN
  ☆13Updated 4 years ago
• shrezaei / Semi-supervised-Learning-QUIC-
  Implementation of "How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets"
  ☆33Updated 6 years ago
• KaiWangGitHub / BARS
  BARS: Local Robustness Certification for Deep Learning based Traffic Analysis Systems (NDSS'23)
  ☆12Updated 2 years ago
• LMP851 / IDS
  A study on Deep Learning and Graph Neural Network for Intrusion Detection and Prevention (CNN, VAE, GNN,...)
  ☆11Updated 2 years ago
• jogecodes / transformerAD
  Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"
  ☆33Updated 2 years ago
• Chaomeng-Lu / MAML-CNN-FSIDS-IoT
  A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things
  ☆14Updated 4 months ago
• polvalls9 / Transfer-Learning-Based-Intrusion-Detection-in-5G-and-IoT-Networks
  Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…
  ☆13Updated 2 years ago
• dongtsi / OWAD
  Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).
  ☆68Updated 2 months ago
• tcbenchstack / tcbench
  tcbench is a Machine Learning and Deep Learning framework to train model from traffic packet time series or other input representations.
  ☆26Updated 6 months ago
• Kyanji / MAGNETO
  ☆20Updated 4 months ago
• brett-gt / IntrusionDetectionSystem
  Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.
  ☆33Updated 5 years ago
• Thijsvanede / AppScanner
  Implementation of AppScanner
  ☆42Updated 2 years ago