FS-IDS: A framework for intrusion detection based on few-shot learning.
Jingcheng YangHongwei LiShuo ShaoFutai ZouYue WuPublished in: Comput. Secur. (2022)
Keyphrases
- intrusion detection
- intrusion detection system
- anomaly detection
- network security
- network intrusion
- network intrusion detection
- learning algorithm
- network traffic
- learning process
- high detection rate
- information security
- cyber security
- lightweight
- data mining techniques
- supervised learning
- network intrusion detection systems
- false positives and false negatives
- data sets
- network intrusions
- computer security
- computer networks
- unsupervised learning
- active learning
- association rules
- databases