Topic: kdd99 Goto Github
Some thing interesting about kdd99
Some thing interesting about kdd99
kdd99,using machine-learning to detecte instruction
User: 404notf0und
kdd99,An Intrusion Detection System (IDS) implemented in Python, which utilizes machine learning techniques and the KDD Cup 1999 dataset to detect and classify network intrusions in real-time.
User: addievo
kdd99,Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities
User: alik604
Home Page: https://alik604.github.io/cyber-security/
kdd99,An introductory course to pandas and scikit learn
User: amine177
kdd99,Creating an Intrusion Detection System
User: andrewquijano
kdd99,Assess various ML algorithms on KDD99 network dataset then apply the best algorithm (Random Forest) using R.
User: anshumank399
kdd99,Intrusion detection using machine learning for KDD 99 dataset
User: batuhaniskr
kdd99,This is a classification model with five classes (normal, DOS, R2L, U2R,PROBING). Ignore the content features of TCP connection ( columns 10-22 of KDD Cup 99 dataset) when training the model to adapt the project that a kdd99 feature extractor
User: charliedddd
kdd99,A Tensorflow model to detect network intrusions in the KDD Cup 1999 data-set.
User: concision
Home Page: https://nbviewer.jupyter.org/github/concision/kdd-cup-1999-model/blob/master/notebook.ipynb
kdd99,Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
User: cynthiakoopman
kdd99,Kdd99 dataset analyzing and some data reproducing experiments with SDN
User: dangnh0611
kdd99,Network Anomaly Detection Using Deep Neural Network
User: ductaingn
kdd99,This is the strong baseline in final competition (KDD1999) of NTU Machine Learning 2016 Fall lectured by Hung-Yi Lee
User: gau820827
kdd99,Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
User: ggulgun
kdd99,Demo of SciKit ML algorithms using the kdd99 dataset
User: ghuecas
kdd99,Abnormal Traffic Identification Classifier based on Machine Learning. My code for undergraduate graduation design.
User: indexfziq
kdd99,ISSS610 Applied Machine Learning
User: ivan-mitb
kdd99,Project developed during Network Security class at Federal University of Rio de Janeiro on spring 2017
User: lucaslrolim
kdd99,Intrusion Detection (KDD Cup 1999 Dataset) using Perceptron and Random Forest. UniFi AI final exam.
User: niccoboa
kdd99,Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn
User: pengzhaoqing
kdd99,Cyber-attack classification in the network traffic database using NSL-KDD dataset
User: pradeepthapa
kdd99,This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the study will be available shortly.
User: r7sy
kdd99,Anomaly detection using machine learning
User: ray-tracer96024
kdd99,Analysis and preprocessing of the kdd cup 99 dataset using python and scikit-learn
User: timeamagyar
kdd99,COSC 490 Towson University
Organization: towson-research
kdd99,Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
User: vinayakumarr
kdd99,修改谷歌提供的样例量子卷积神经网络模型,基于KDD99数据集进行训练,实现了网络攻击分类检测。
User: xiaoyu2018
kdd99,A predictive model capable of distinguishing between bad connections and good connections using machine learning.
User: yativijay
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