ben9527 Goto Github PK

a-novel-svm-knn-pso-ensemble-method-for-intrusion-detection-system-

a-quantum-inspired-genetic-algorithm-for-k-means-clustering

Implementation of a Quantum inspired genetic algorithm proposed by A quantum-inspired genetic algorithm for k-means clustering paper.

animal_foraging_model

Modelling the movements of foraging animals as a Levy Flight (Stochastic Process) trained via an evolutionary algorithm

ann-qpso-ids

QPSO trained ANN for wireless IDS

awesome-quantum-computing

A curated list of awesome quantum computing learning and developing resources.

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

ben9527.github.io

blog & blog theme🤘

biogeography-based-optimisation-using-levy-flight

cicids2017

CICIDS2017 dataset

cihc-2019

没有图像隐写检测代码 【针对nsF5 UERD J-UNIWARD 】(未完成)

classification_of_kddcupdata_using-_svm_with_elastic_net_regualizer

cuckoo-search-via-levy-flight-using-python

Pyhton Implementation of CS

cyber-attack-detection

cyberattack-detection

Cyber Attack Detection thanks to Machine Learning Algorithms

font

用于个人博客所用的中文字体

ids

IDS with CICIDS2017 dataset based on tree-based classifiers

ids_dataset

intrusiondetectionsystem

Intrusion Detection System using SVM with NSL KDD Dataset

kddcup99-cnn

Using PyTorch to train kddcup99 dataset with convolutional neural networks.

kddcup99-mining

Software to detect network intrusions protects a computer network from unauthorized users, including perhaps insiders. The intrusion detector learning task is to build a predictive model (i.e. a classifier) capable of distinguishing between bad connections, called intrusions or attacks, and good normal connections. Hence KDD Cup 99 dataset was created as a part of annual data mining competition in the year 1999. Our GOAL is to predict if a connection is safe or an anamoly.

lsb-steganography

Least-Significant-Bit tool for steganography

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machine-learning-algorithms-for-detecting-network-attacks-with-unsw-nb15-data-set

Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different fields around the world. Many studies and researches about cyber-security are carried out by experts in order to construct a safe network environment for people. The aim of the work is to build the detection models for classifying the attack data. Hence, we applied the UNSW-NB15 network data set which combines both normal and modern low-level attacks because we would like to create the experimental scenario close to the real world. Two classifiers are logistic regression and decision tree model for binary classification in the work. The deployed technique for decision tree achieved the highest result with 99.99% of testing accuracy compare to the 78.15% of logistic regression classifier. On the other hand, the KNN model is used for categorizing the multi-class in the project, and the averaged accuracy for testing is around 23% for ten categories classification.

myblog-mybatis

个人博客系统（SpringBoot+Mybatis）

myblogwebsite

基于SpringBoot的精美个人博客网站

network-intrusion-detection

Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

nids

Network Intrusion Detection System using GA and SVM

pad-lstm

Thesis work using Deep Learning to detect attacks to face recognition systems (CNN+LSTM)

personnel-management-system

人事管理系统，基于Spring+SpringMVC+Mybatis框架，该项目两级权限管理员与普通员工，包含用户管理，部门管理，职位管理，员工管理，公告管理，下载中心等多个模块

pyswarmoptimization

基于Python3语言开发的群体智能优化框架