Customised Intrusion Detection for an Industrial IoT Heterogeneous Network Based on Machine Learning Algorithms Called FTL-CID.
Nasr AbosataSaba Al-RubayeGökhan InalhanPublished in: Sensors (2023)
Keyphrases
- machine learning algorithms
- intrusion detection
- intrusion detection system
- benchmark data sets
- anomaly detection
- machine learning
- learning algorithm
- decision trees
- network security
- network traffic
- learning problems
- machine learning methods
- high detection rate
- machine learning approaches
- data mining
- computer security
- network intrusions
- network intrusion
- information security
- cloud computing
- data mining techniques
- detecting anomalous
- alert correlation
- machine learning models
- network intrusion detection
- cyber security
- artificial immune
- network intrusion detection systems
- fraud detection