Exploring the effect of training-time randomness on the performance of deep neural networks for intrusion detection.
Marta CatilloAntonio PecchiaUmberto VillanoPublished in: Soft Comput. (2024)
Keyphrases
- intrusion detection
- neural network
- intrusion detection system
- anomaly detection
- network security
- network intrusion detection
- network traffic
- information security
- network intrusion
- pattern recognition
- high detection rate
- data mining
- false positives and false negatives
- artificial immune
- computer security
- intrusion prevention
- detecting anomalous
- alert correlation
- cyber security
- genetic algorithm
- databases
- back propagation
- training set
- artificial neural networks
- data mining techniques
- supervised learning
- network intrusions
- fraud detection
- object recognition
- network intrusion detection systems
- pairwise