Repositories list

• anomaly-flow

  Public
  Framework for implementing Network Intrusion Detection Systems (NIDS) aimed at identifying anomalies in network flows using Federated Learning models.

  ddosganmulti-domain+ 3anomaly-detectionfederated-learningnetwork-attacks

  Jupyter Notebook

  •

  MIT License

  •1•3•2•0•Updated Oct 25, 2024Oct 25, 2024

• fl-unsup-nids

  Public
  Jupyter Notebook

  •4•18•0•0•Updated Oct 22, 2024Oct 22, 2024

• T800

  Public
  C

  •

  MIT License

  •3•7•0•0•Updated Sep 1, 2024Sep 1, 2024

• flids-wsensing2022

  Public
  Ensemble model for detecting DDoS attacks across multiple domains

  machine-learningddos-attacksexperiments+ 1federated-learning

  Jupyter Notebook

  •

  MIT License

  •0•0•0•0•Updated Jun 21, 2024Jun 21, 2024

• spidersense-globecom2024

  Public
  0•0•0•0•Updated May 16, 2024May 16, 2024

• sbrc2024-csi

  Public
  Python

  •0•1•0•0•Updated May 13, 2024May 13, 2024

• hids-iscc2024

  Public
  Jupyter Notebook

  •0•1•0•0•Updated Mar 11, 2024Mar 11, 2024

• screen-comst

  Public
  Python

  •0•0•0•0•Updated Feb 19, 2024Feb 19, 2024

• sbrc2024-ebfa_bb

  Public
  Jupyter Notebook

  •0•0•0•0•Updated Feb 2, 2024Feb 2, 2024

• screen-sbseg-2023

  Public
  Um protótito de implementação do nosso paper no SBSeg2023.

  Shell

  •0•1•0•0•Updated Jan 23, 2024Jan 23, 2024

• cve-reported

  Public
  This repository includes all CVE discovered in our frameworks.

  2•7•0•0•Updated Jan 20, 2024Jan 20, 2024

• fl-ieee-vtc2023

  Public
  Jupyter Notebook

  •0•1•0•0•Updated Dec 1, 2023Dec 1, 2023

• BinclustRE

  Public
  Python

  •

  MIT License

  •0•0•0•0•Updated Sep 19, 2023Sep 19, 2023

• ab-trap-icc-2024

  Public
  A kitsune version targeted to Raspberry PI

  0•0•0•0•Updated Sep 4, 2023Sep 4, 2023

• nastyware-analyser

  Public
  MATLAB

  •

  MIT License

  •0•0•0•0•Updated Apr 18, 2023Apr 18, 2023

• fl-bsm-vtc2023

  Public
  0•0•0•0•Updated Apr 10, 2023Apr 10, 2023

• ransomware-minifilter

  Public
  C

  •

  MIT License

  •5•4•0•0•Updated Mar 28, 2023Mar 28, 2023

• fl-ids-globecom2022

  Public
  Jupyter Notebook

  •

  MIT License

  •0•1•0•0•Updated Feb 22, 2023Feb 22, 2023

• telegram-bot

  Public
  Python

  •1•2•0•0•Updated Nov 25, 2022Nov 25, 2022

• iplite-sbseg2022

  Public
  C

  •

  MIT License

  •0•3•0•0•Updated Nov 24, 2022Nov 24, 2022

• wsensing2021

  Public
  Classification of Denial of Service Attacks on Wi-Fi-based Unmanned Aerial Vehicle

  Jupyter Notebook

  •

  MIT License

  •0•3•0•0•Updated Sep 30, 2022Sep 30, 2022

• nastyware

  Public
  Jupyter Notebook

  •1•6•0•0•Updated Jul 18, 2022Jul 18, 2022

• wain2021

  Public
  The source code for reproductibility of WAIN 2021 paper: Improving detection of scanning attacks on heterogeneous networks with Federated Learning

  logistic-regressionnidsscanning+ 1federated-learning

  Jupyter Notebook

  •

  MIT License

  •1•2•0•0•Updated Jul 5, 2022Jul 5, 2022

• t800-sbrc2022

  Public
  Ferramenta de firewall e benchmark para IoT

  C

  •2•2•0•0•Updated Jun 20, 2022Jun 20, 2022

• aBFF-sbseg2022

  Public
  Jupyter Notebook

  •3•2•1•0•Updated Jun 13, 2022Jun 13, 2022

• dismiss-bsm-sbseg2022

  Public
  Jupyter Notebook

  •

  MIT License

  •0•0•0•0•Updated May 30, 2022May 30, 2022

• dismiss-bsm-globecom2022

  Public
  Jupyter Notebook

  •

  MIT License

  •0•1•0•0•Updated May 30, 2022May 30, 2022

• AB-TRAP

  Public
  This is a five-step framework for the development of intrusion detection systems (IDS) using machine learning (ML) considering model realization, and performance evaluation.

  machine-learningintrusion-detection-systemsab-trap

  Jupyter Notebook

  •9•47•0•0•Updated Mar 2, 2022Mar 2, 2022

• pinion

  Public
  Jupyter Notebook

  •

  MIT License

  •0•1•0•0•Updated Apr 1, 2021Apr 1, 2021