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5-elasticsearch-logstash-kibana

利用Elasticsearch, LogStash, Kibana集群实现数据可视化

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

datastream.io

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

detectlm

Detecting Lateral Movement with Machine Learning

experimentsmultivariate

Repositório mestrado

explainable-ai-nids

Notebook for performing network intrusion detection on the CICIDS-2018 dataset and using ShapLey to corroborate the feature importance

factoryio-plc

learning-logstash-and-elastic-search-plugins

learning logstash and elastic search plugins

machine-learning-with-elastic-stack-second-edition

Machine Learning with Elastic Stack - Second Edition, published by Packt

malicious-urls-detection-with-autoencoder-neural-networks

Detecting malicious URLs using an autoencoder neural network

ml_to_soc

nipds

Designing and implementing a Packet-Based Intelligent Network phishing Intrusion Detection system. The idea of the design is to use machine learning to classify Network packets to benign and phishing in real-time flow (for both http/https protocol) based on DNS records and domain name features. It operates by using a pre-programmed list of known ph

north_china_plain_gee_organized

The built-up land mapping of the North China Plain from 1990 to 2019

notebooks

Code examples for pyFTS

phishing-detection-machine-learning-wazuh-scripts

Teste do Wazuh com SIEM

pml-urls-maliciosas

Projeto de detecção de URLs maliciosas usando machine learning.

pydata-sf-2016-arima-tutorial

PyData San Francisco 2016 - ARIMA Tutorial

pyfts

An open source library for Fuzzy Time Series in Python

repaiprotocols

AI para classificação de sites maliciosos

siem-with-machine-learning

Development of abnormal behavior detection model based on AI for SIEM

timeseries_notebooks_collections

Jupyter Notebooks Collection for Learning Time Series Models