A Comparative Analysis of Machine Learning Algorithms for Intrusion Detection in Edge-Enabled IoT Networks.
Poornima MahadevappaSyeda Mariam MuzammalRaja Kumar MurugesanPublished in: CoRR (2021)
Keyphrases
- machine learning algorithms
- intrusion detection
- intrusion detection system
- benchmark data sets
- anomaly detection
- learning algorithm
- network security
- computer networks
- network intrusion detection
- machine learning
- decision trees
- network traffic
- learning problems
- detecting anomalous
- machine learning methods
- high detection rate
- information security
- artificial immune
- network intrusion
- alert correlation
- cyber security
- computer security
- network intrusions
- data mining techniques
- statistical machine learning
- network attacks
- standard machine learning algorithms
- data mining
- unsupervised learning
- bayesian networks
- outlier detection
- cloud computing
- outlier mining
- support vector machine
- network intrusion detection systems
- data sets
- intrusion prevention