Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn
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Updated
Apr 1, 2017 - Python
Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn
Wireless Intrusion Detection and Countermeasure System
Anomaly Detection Discriminative GAN (ADD-GAN)
A neighborhood watch for your SaaS apps.
Intrusion Detection Algorithm - SVM and Enhanced SVM
Repository for a Fall 2017 project in Cryptography & Network Security
This repo contains codes related to our software engineering project to implement Intrusion Detection System based on Python and OpenCV.
A utility to escalate AlphaSOC alerts from Splunk to other platforms
A simple code to implement intrusion detection which gives out a warning when people pass through it. Just a motion detector.
The project is about outlier detection with different methods same as FastVOA, Kmeans, DBScan or LOF, conducted on KDD dataset.
Deep Learning Tool for Off-line Network Intrusion Detection System
motion sensor
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
This is a sample cloud ids implementation using CloudLens, Snort and ELK. This sample complements the 3 part cloud ids blog series in https://www.ixiacom.com/company/blog/sample-cloud-ids-solution-part-3-series
Whenever founds internet connectivity confirms is it you, if not log you off and send you image of intruder.
Intrusion Detection using various Data Mining Techniques (KDD Cup 1999 Data)
PCCN for imbalanced flow data classifcation
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
using machine-learning to detecte instruction
Network Intrusion Detection System using Deep Learning Techniques
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