cse-cic-ids2018

There are 1 repository under cse-cic-ids2018 topic.

• tjnel / DSU_INSuRE_SP19_IDS_Prioritization

  IDS Alert Prioritization INSuRE Research Project

  idscse-cic-ids2018machine-learningintrusion-detectionalertsrandom-forest-classifierk-means-clusteringdecision-tree-classifierpython3alert-reduce
  Language:Jupyter Notebook 17

• GrannyProgramming / Intrusion-Detection-using-Deep-Learning-and-Machine-Learning

  Network related services, programs and applications are developing greatly, however, network security breaches are also developing with them. Network security is an evolving, challenging and a critical task. It is essential that there is a system in place to identify any harmful movement happening in network. An Intrusion detection system (IDS) has become the prerequisite software addressing cyber security in the modern era. Especially, with the greater complexity of advanced cyber-attacks and as such the uncertainty surrounding the detection of the types of attacks. This thesis proposes a novel approach using an ensemble of K-Means and Gaussian Mixture clustering combined with a deep neural network (DNN) algorithm. When compared with traditional artificial neural network’s (ANN’s) used within an IDS, our approach implements modern advances in deep learning such as initialising the parameters through the unsupervised pre-training clustering ensemble, therefore improving the detection accuracy. We hope our results will show that the proposed approach can provide a real-time response to the attack with a greatly increased detection ratio for false flags.

  supervised-learningunsupervised-learningintrusion-detection-systemmachine-learningdeepdeep-learningdeep-neural-networksclusteringcse-cic-ids2018
  Language:Jupyter Notebook 13