MLSTL-WSN: machine learning-based intrusion detection using SMOTETomek in WSNs.
Md. Alamin TalukderSelina SharminMd. Ashraf UddinMd. Manowarul IslamSunil AryalPublished in: Int. J. Inf. Sec. (2024)
Keyphrases
- intrusion detection
- wireless sensor networks
- machine learning
- sensor nodes
- energy efficient
- intrusion detection system
- energy consumption
- data aggregation
- sensor networks
- data mining
- anomaly detection
- resource limitations
- resource constrained
- network traffic
- network security
- routing algorithm
- computer security
- network intrusion detection
- base station
- routing protocol
- artificial immune
- high detection rate
- energy efficiency
- body sensor networks
- cyber security
- information security
- detecting anomalous
- learning algorithm
- data analysis
- data mining techniques
- key management
- alert correlation
- network intrusions
- lightweight
- supervised learning
- feature selection
- network intrusion
- data sets
- active learning
- database systems
- reinforcement learning
- training set
- network intrusion detection systems
- model selection