Topic: network-intrusion-detection Goto Github
Some thing interesting about network-intrusion-detection
Some thing interesting about network-intrusion-detection
network-intrusion-detection,Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
User: abhinav-bhardwaj
network-intrusion-detection,Network-Intrusion-Detection
User: alaaelkhashap
network-intrusion-detection,Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities
User: alik604
Home Page: https://alik604.github.io/cyber-security/
network-intrusion-detection,Assess various ML algorithms on KDD99 network dataset then apply the best algorithm (Random Forest) using R.
User: anshumank399
network-intrusion-detection,Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
User: central-cee
Home Page: https://drive.google.com/file/d/1o76ZBdZ0vIAFx2EHPrKCtG12oNUeEsdu/view?usp=drivesdk
network-intrusion-detection,Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and flow statistics.
User: chandrahas-soman
network-intrusion-detection,Applying machine learning algorithms to classify military network connections as normal or anomalous.
User: charafmrah
network-intrusion-detection,Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
User: cynthiakoopman
network-intrusion-detection,Network Intrusion Detection System using Machine Learning
User: decode2code
network-intrusion-detection,The product is developed as a part of the final year project. It is aimed at providing an architecture and open source code to developers so that they can embed this into their applications to enhance the security. The services provided are top notch and cover the broad spectrum of computer and network security. All the features of the product involve the application of Data Mining and Machine Learning techniques onto the domain of Computer Security.
User: deepakjayaprakash
network-intrusion-detection,Analyzes network traffic and tells whether the query is normal or a type of attack. 3 classifiers are built and tested: Naive Bayes, Decision Trees, Random Forests, Followed by a complete visualization of results
User: deepakjayaprakash
network-intrusion-detection,Contains some papers on Keystroke Biometric Authentcation, Network Intrusion Detction and Alcatraz
User: deepakjayaprakash
network-intrusion-detection,passive device fingerprinting api for network intrustion detection
Organization: denverskylines
network-intrusion-detection,Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (KNN), Logistic Regression and Random Forest.
User: dimtics
network-intrusion-detection,Network intrusion detection unsing hybrid sampling and KNeighborsClassifier
User: divyanksaini
network-intrusion-detection,NetSniff (Network intrusion detection system) is a real-time network packet sniffer and analyzer built using C.
User: evildevill
Home Page: https://hackerwasii.com
network-intrusion-detection,Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)
User: frazhackz
network-intrusion-detection,En este proyecto se evalúan y comparan diferentes técnicas de aprendizaje automático para la detección de intrusiones en red.
User: hectorpadin1
network-intrusion-detection, This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats
User: imharshag
network-intrusion-detection,Network Intrusion Detection using Machine Learning.
User: kirank23
network-intrusion-detection,Regression , Classification and Segmentation projects
User: kumaragurum
network-intrusion-detection,The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.
User: mansipatel2508
Home Page: https://colab.research.google.com/drive/1cymmyp2Bz-nYPKPnJNxtZdlYd7kdKhjd
network-intrusion-detection,This class allows to efficiently convert bigger than memory pcap files to a labeled feature-per-byte dataset in parquet format
User: master-sorcerer
network-intrusion-detection,Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System. The deployed project link is as follows.
User: mohdsaif-1807
Home Page: https://nids-system.onrender.com/
network-intrusion-detection,The aim of the project is to detect the intrusion in network. The dataset link has been mentioned below.
User: mrkhan0747
network-intrusion-detection,Keysight NAS (IXIA) Cloud Demo Examples
Organization: openixia
network-intrusion-detection,WHU毕业设计,基于欠采样-随机森林的入侵检测模型。A simple WHU graduation project. Thank you Wuhan University.
User: ponedo
network-intrusion-detection,Welcome to my Individual Project for Codeup: Network Intrusion Detection. The goal was to build a machine learning model to detect anomalous behavior. Data courtesy of Kaggle.
User: quantumkane
network-intrusion-detection,Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".
Organization: racsa-lab
network-intrusion-detection,Kaggle competition on network intrusion detection. Train model, predict test set, submit as CSV (ID, Class). F1-score metric. Part of my 2023 master's program at the University of Ottawa in AI for Cyber Security.
User: rimtouny
network-intrusion-detection,An Anomaly-based intrusion detection system using Deep Learning
User: sahaavi
network-intrusion-detection, Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
User: shaik-sohail-72
Home Page: https://drive.google.com/file/d/1o76ZBdZ0vIAFx2EHPrKCtG12oNUeEsdu/view?usp=drivesdk
network-intrusion-detection,Network Intrusion Detection in an Adversarial setting
User: shreyansh26
network-intrusion-detection,Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning, Recurrent Neural Network models, MERN web I/O System.
User: shubhammola
Home Page: https://drive.google.com/file/d/1o76ZBdZ0vIAFx2EHPrKCtG12oNUeEsdu/view?usp=drivesdk
network-intrusion-detection,Enhancing Network Intrusion Detection: An Online Methodology for Performance Analysis
User: smagnani96
network-intrusion-detection,Scirius is a web application for Suricata ruleset management and threat hunting.
Organization: stamusnetworks
network-intrusion-detection,A Suricata based IDS/IPS/NSM distro
Organization: stamusnetworks
Home Page: https://www.stamus-networks.com/open-source/#selks
network-intrusion-detection,The objective of the project is to build network intrusion detection system to detect anomalies and attacks in the network.
User: tanya-tandon02
network-intrusion-detection,
User: trishac97
network-intrusion-detection,Network Intrusion Detection System Project using Machine Learning with code and Documents
User: vatshayan
Home Page: https://www.finalproject.in/
network-intrusion-detection,Network Intrusion Detection System
User: vicky60629
Home Page: https://nids-api.herokuapp.com/
network-intrusion-detection,Intrusion Detection
User: vinayakumarr
network-intrusion-detection,Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
User: vinayakumarr
network-intrusion-detection,Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.
User: yasir-ali-farrukh
network-intrusion-detection,Machine learning based network intrusion detection system
User: yongzhengooi
network-intrusion-detection,
User: yuweisunn
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