Data networks

Deep Learning Approach for Intelligent Intrusion Detection System

Machine learning techniques are being widely used to develop an intrusion detection system (IDS) for detecting and classifying cyberattacks at the network-level and the host-lev...

Machine Learning and Deep Learning Methods for Cybersecurity

With the development of the Internet, cyber-attacks are changing rapidly and the cyber security situation is not optimistic. This survey report describes key literature surveys ...

Survey of intrusion detection systems: techniques, datasets and challenges

Cyber-attacks are becoming more sophisticated and thereby presenting increasing challenges in accurately detecting intrusions. Failure to prevent the intrusions could degrade th...

Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

Industry devices (i.e., entities) such as server machines, spacecrafts, engines, etc., are typically monitored with multivariate time series, whose anomaly detection is critical...

Multi-round passive attacks on server-aided RSA protocols