Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey
Indexed incrossrefdoaj
Abstract
Networks play important roles in modern life, and cyber security has become a vital research area. An intrusion detection system (IDS) which is an important cyber security technique, monitors the state of software and hardware running in the network. Despite decades of development, existing IDSs still face challenges in improving the detection accuracy, reducing the false alarm rate and detecting unknown attacks. To solve the above problems, many researchers have focused on developing IDSs that capitalize on machine learning methods. Machine learning methods can automatically discover the essential differences between normal data and abnormal data with high accuracy. In addition, machine learning methods have…
Citation impact
1,053
total citations
- FWCI
- 61.88
- Percentile
- 100%
- References
- 99
Citations per year
Authors
2Topics & keywords
Topics
Keywords
- Computer science
- Artificial intelligence
- Machine learning
- Intrusion detection system
- Generalizability theory
- Deep learning
No related works found for this paper.