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anomaly-detection-in-networks-using-machine-learning

A thesis submitted for the degree of Master of Science in Computer Networks and Security

armour-tinydtls

Using tinydtls for contiki with coap-dtls

clustering-based-anomaly-detection

This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets

contiki

The official git repository for Contiki, the open source OS for the Internet of Things

contiki-tinydtls-coap

contiki3.0

cyber-security

Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities

dl_ids_survey

Deep learning models for network intrusion detection

fuck-paywall

去掉华尔街日报和经济学人的付费墙。remove the paywalls of The Wallstreet Journal & The Economist.

fun-with-mnist

Playing with MNIST. Machine Learning. Generative Models.

how-to-be-a-good-programmer

I'm here to tell you some amazing stuff which teacher would never tell you.

keras-gan

Keras implementations of Generative Adversarial Networks.

machine-learning-collection

A resource for learning about Machine learning & Deep Learning

mealpy

A collection of the state-of-the-art MEta-heuristic ALgorithms in PYthon (mealpy)

mspgcc-4.7.3

mycontiki

oasw-concept-drift-detection-and-adaptation

An online learning method used to address concept drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.

openssl

TLS/SSL and crypto library

opytimizer

🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.

python-ids

Python based Intrusion Detection System

spidermonkey

This is a repository which contains all the code for the Spider Monkey Optimization Algorithm, associated with Chapter 6, Machine Learning for Intelligent Decision Science. https://link.springer.com/book/10.1007/978-981-15-3689-2

tinygroupdtls

Lightweight DTLS implementation with group communication extension

ttt