dmminhas Goto Github PK

iot-cyber-security-with-machine-learning-research-project

IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they contain. In response, network intrusion detection systems have been developed to detect suspicious network activity. UNSW-NB15 is an IoT-based network traffic data set with different categories for normal activities a

iot-network-intrusion-detection-and-classification-using-explainable-xai-machine-learning

The continuing increase of Internet of Things (IoT) based networks have increased the need for Computer networks intrusion detection systems (IDSs). Over the last few years, IDSs for IoT networks have been increasing reliant on machine learning (ML) techniques, algorithms, and models as traditional cybersecurity approaches become less viable for I

iot-network-intrusion-detection-system-unsw-nb15

Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset

learn-cloud

machine-learning-specialization-coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

minhas.github.io

A modern static resume template and theme. Powered by Jekyll and GitHub pages.

miot

Mastering Internet of Things

network-intrusion-detection-using-machine-learning

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

new-blog

noteboo

phd

phd-journey

Some important things that you are eager to have for your PhD journey.

python-cheatsheet

All-inclusive Python cheatsheet

research-material

smartshark

An Intrusion Detection System Based on Machine Learning

suzlucom.github.io

test-rapo

this is test repo

testrepodev.1

website2

wrapper-feature-selection-toolbox-python

This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.