A Case Study with CICIDS2017 on the Robustness of Machine Learning against Adversarial Attacks in Intrusion Detection.
Marta CatilloAndrea Del VecchioAntonio PecchiaUmberto VillanoPublished in: ARES (2023)
Keyphrases
- intrusion detection
- machine learning
- network attacks
- network intrusions
- network intrusion
- network intrusion detection systems
- intrusion detection system
- computer security
- network traffic data
- intrusion prevention
- data mining
- anomaly detection
- network security
- network traffic
- network intrusion detection
- security vulnerabilities
- misuse detection
- normal behavior
- intrusion detection and prevention
- high detection rate
- information security
- cyber attacks
- decision trees
- artificial immune
- cyber security
- feature selection
- worm detection
- computer vision
- alert correlation
- false positives and false negatives
- countermeasures
- learning algorithm
- computer networks
- detecting anomalous
- active learning
- reinforcement learning
- unauthorized access
- dos attacks
- data sets
- outlier mining
- model selection
- supervised learning
- fraud detection
- text mining
- data mining techniques