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Found 4 papers, 2 papers with code
A Compendium on Network and Host based Intrusion Detection Systems
The techniques of deep learning have become the state of the art methodology for executing complicated tasks from various domains of computer vision, natural language processing, and several other areas.
Deep-Net: Deep Neural Network for Cyber Security Use Cases
In this paper, we attempt to apply DNNs on three different cyber security use cases: Android malware classification, incident detection and fraud detection.
Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security
In this paper, DNNs have been utilized to predict the attacks on Network Intrusion Detection System (N-IDS).
Ranked #1 on
Network Intrusion Detection
on KDD
Stance-In-Depth Deep Neural Approach to Stance Classification
We call related as detailed classification and unrelated as broad classification.
