| Predicting network anomalies with deep sequence analysis |
2019 |
266 |
Network attacks can be very costly to victims and due to the complexities in they disparate types of attacks they are also hard to detect/predict. Understanding the underlying network traffic is critical in the developing automated solutions which ca... |