13 datasets found

This paper introduces a configurable ransomware emulator designed to generate IO traces in a safe and controlled environment.

The dataset used in this paper is a simulation case study on cyberattack scenarios on a plug-in electric-vehicle (PEV) through the electric vehicle supply equipment (EVSE) at...

Machine learning and deep learning methods for cybersecurity

The Expert dataset is a collection of threat reports from CTI sources, with a focus on expert-level threat intelligence.

The Procedure+ dataset is a collection of threat reports from CTI sources, with a focus on procedures.

The TRAM dataset is a collection of threat reports from CTI sources, with a focus on procedures and techniques.

The LANL dataset consists of over one billion log lines collected over 58 consecutive days. The logs contain anonymized process, network flow, DNS, and authentication information.

The CICIDS2017 dataset was collected 2 years after the UNSW NB-15 data. The collection took place for a week. On each day attacks such as: Brute Force FTP, Brute Force SSH, DoS,...

The dataset used for testing the autoencoder-based false data injection attack detector.

The dataset used for training the autoencoder-based false data injection attack detector.

The IEEE 118-bus system dataset is used to test the proposed reinforcement learning-based mitigation strategy for Multi-Stage Cascading Failure problem.

The proposed hybrid DL model uses CNN and QRNN models to classify threats in smart cities.

The proposed deep transfer learning-based dependable IDS model uses a deep transfer learning-based residual neural network (P-ResNet) IDS that can train efficiently using only a...