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Machine Learning and Deep Learning Methods for Cybersecurity
Machine learning and deep learning methods for cybersecurity -
CICIDS2017
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,... -
Testing Data set
The dataset used for testing the autoencoder-based false data injection attack detector. -
Training Data set
The dataset used for training the autoencoder-based false data injection attack detector. -
IEEE 118-bus system
The IEEE 118-bus system dataset is used to test the proposed reinforcement learning-based mitigation strategy for Multi-Stage Cascading Failure problem.
