A Comparative Study on the Impact of Adversarial Machine Learning Attacks on Contemporary Intrusion Detection Datasets.
Medha PujariYulexis PachecoBhanu CherukuriWeiqing SunPublished in: SN Comput. Sci. (2022)
Keyphrases
- intrusion detection
- network traffic data
- machine learning
- network intrusion
- intrusion detection system
- network attacks
- network intrusion detection systems
- network intrusions
- computer security
- intrusion prevention
- network intrusion detection
- network traffic
- data mining
- network security
- anomaly detection
- security vulnerabilities
- misuse detection
- cyber security
- normal behavior
- high detection rate
- information security
- artificial immune
- intrusion detection and prevention
- nsl kdd
- cyber attacks
- detecting anomalous
- data mining techniques
- alert correlation
- learning algorithm
- countermeasures
- supervised learning
- worm detection
- text mining
- active learning
- reinforcement learning
- decision trees
- computer vision
- real world
- data sets