Early Detection of Network Attacks Using Deep Learning.
Tanwir AhmadDragos TruscanJüri VainIvan PorresPublished in: ICST Workshops (2022)
Keyphrases
- early detection
- deep learning
- network attacks
- intrusion detection
- network intrusion detection
- network security
- intrusion detection system
- unsupervised learning
- breast cancer
- dos attacks
- unsupervised feature learning
- lung cancer
- anomaly detection
- machine learning
- mental models
- network traffic
- weakly supervised
- text classification
- computer networks
- fraud detection
- logistic regression
- training data
- decision making
- feature selection
- data mining