kp97524

bat-algorithm

Implementation of standard Bat Algorithm (Xin She Yang, 2010)

gru-svm

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

rnn-tutorial-gru-lstm

Language Model GRU with Python and Theano

fraudhacker

Anomaly detection system for medical insurance claims data

nsl-kdd

PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html

LSTM-IDS

Network data classifier based on the recurrent neural network.

IDS-UNSW-NB15

IoT intrusion Detection Model based on neural network and random forests

Intrusion-Detection-Spark-Conv-LSTM

Intrusion detection system with Apache Spark and deep learning

Intrusion-Detection-Systems

This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".

Intrusion-Detection-System-using-Deep-Learning

VGG-19 deep learning model trained using ISCX 2012 IDS Dataset

Network-Intrusion-Detection-using-Machine-Learning

Assess various ML algorithms on KDD99 network dataset then apply the best algorithm (Random Forest) using R.

lstm_anomaly_thesis

Anomaly detection for temporal data using LSTMs

Emotions-Recognition-using-IOT-and-Machine-Learning