MLSTL-WSN: Machine Learning-based Intrusion Detection using SMOTETomek in WSNs.
Md. Alamin TalukderSelina SharminMd. Ashraf UddinMd. Manowarul IslamSunil AryalPublished in: CoRR (2024)
Keyphrases
- intrusion detection
- wireless sensor networks
- machine learning
- sensor nodes
- energy efficient
- sensor networks
- intrusion detection system
- energy consumption
- data mining
- anomaly detection
- resource limitations
- network security
- network intrusion detection
- data aggregation
- network traffic
- energy efficiency
- high detection rate
- resource constrained
- artificial immune
- base station
- network intrusion
- routing protocol
- information security
- body sensor networks
- routing algorithm
- computer security
- cyber security
- key management
- detecting anomalous
- supervised learning
- unsupervised learning
- data analysis
- computer vision
- alert correlation
- network attacks
- lightweight
- data mining techniques
- knowledge discovery
- active learning
- object recognition
- secure routing
- feature selection
- data sets
- network intrusion detection systems
- intrusion prevention
- training set
- reinforcement learning
- learning algorithm
- databases