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course

Contenu pédagogique du MOOC Python3 sur fun-mooc.fr

deeptraffic

Deep Learning models for network traffic classification

dns-flood-detector

Mirror of the Debian dns-flood-detector package http://packages.qa.debian.org/dns-flood-detector

dns_tunnelling_detection

The primary objective of this project is to develop an effective and efficient DNS tunnelling detection system using machine learning algorithms. By harnessing the power of machine learning, We aim to enhance network security by detecting abnormal patterns and behaviours associated with DNS tunneling

internet-traffic-classification-and-intrusion-detection

An ML-based classification method to classify the traffic and intrusions in a network which improves the overall performance of the network system.

itransformer-and-cnn

learn

Labeled DNS exfiltration datasets and algorithms of DNS tunneling detection

network-traffic-classification

Deep Learning model for analysis and identify the application for given Teletraffic pattern. 1D convolution and FFN models using for this task

rhce-ex294

RHCE EX294 Study-Guide & Exam-Questions

umudga

Domain Generation Algorithm official repository. Please visit the WIKI page for more information