Code-beauty's Stars
MRKING20/CodeAlpha_Secure_Coding_Review
This project is my third Task as a cybersecurity intern at Code Alpha.
CodeRreaper69/CodeAlpha_CyberSecurity
jgera/Network-Intrusion-Detection-System
Designed and developed an anomaly and misuse based intrusion detection system using neural networks. Technologies used: Java Weka and R. Java is used to prepare DataSets. R is used implement a neural network. Weka is used for data cleaning.
divaamahajan/Network-Intrusion-Detection-Kitsune-Network-Attack-Dataset
SwathiReddy03/Intrusion-Detection-System-using-Deep-Reinforcement-Learning
This repository contains code for an Intrusion Detection System (IDS) developed using deep reinforcement learning techniques. The IDS is designed to detect and respond to cyber attacks within a network environment.
juzkamal/IDS-using-Federated-Reinforcement-Learning
Anomaly based intrusion detection system using reinforcement learning techniques such as DDQN and Dueling DDQN in a federated environment
Nikhil-Abraham/RL-IDS
cstub/ml-ids-api
REST API serving the ML-IDS classifier (https://github.com/cstub/ml-ids)
arif6008/Intrusion_Detection_Using_CICIDS2017
Intrusion Detection System (Classifier) Using CIC IDS 2017 Datasets
ruslanalishchynska/IDS
IDS with CICIDS2017 dataset based on tree-based classifiers
kahramankostas/Anomaly-Detection-in-Networks-Using-Machine-Learning
A thesis submitted for the degree of Master of Science in Computer Networks and Security
nrajasin/Network-intrusion-dataset-creator
minhna1112/16QAM-MATLAB
Class Project - Digital Wireless Communication
ShambhaviAwasthi/WMC-Project---MATLAB-simulation-of-RSS-based-channel-modelling-localization-and-tracking
This is the project for course Wireless Mobile Communication.
ABISOLAP/NSL-KDD
Implementing Feature Selection and Prediction on NSL KDD Dataset using Naive Bayes and SVM supervised Learning Algorithms
shivacharan22/IDS-by-AE-RL
gcamfer/Anomaly-ReactionRL
Using RL for anomaly detection in NSL-KDD
ChenBlue/Wireless_Communication_System-HW2-Rayleigh_fading_channel_simulator
Simulate Rayleigh fading channel by Filtered Gaussian Noise Method and Sum of Sinusoids Methods
AmirSA92/ML-IDS-Thesis
A machine learning approach for intrusion detection
zhixiangxu/ml-ids-test-environment-sdn
Machine Learning IDS and testing environment using SDN
arsheen/IDS-on-SDN-using-Machine-Learning
Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and flow statistics.
Chandrahas-Soman/Simple_IDS_using_RYU_SDN_controller_and_Machine_Learning
Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and flow statistics.
Gci04/GANs_for_Network_Intrusion_Data
Generative adversarial networks for Network Intrusion Benchmark datasets
Vatshayan/Network-Intrusion-Detection-Project
Network Intrusion Detection System Project using Machine Learning with code and Documents
sadighian/recommendation-gym
MovieLens recommendation system using reinforcement learning (GYM + PPO)
pasus/Reinforcement-Learning-Book
yutsai84/rl-recommender-systems
demo of running rl-based recommender systems locally
trishit2801/Movie-Recommender-System
A movie recommender system based on movie lens dataset built using 2 robust neural networks - Boltzmann Machine and Stacked AutoEncoders
ronitmehta/Movie-Recommender-System
This recommender system uses 3 diffrent approaches and combine them to solve the data sparsity and cold-start problem. As individually they doest not solve the problem therefore, we combine them to do the job. Recomender systems which are used here is Knowledge Graph Convolutional Network, Neural network and SVD.
backgom2357/Recommender_system_via_deep_RL
The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al.