Quantized autoencoder (QAE) intrusion detection system for anomaly detection in resource-constrained IoT devices using RT-IoT2022 dataset.
B. S. SharmilaRohini NagapadmaPublished in: Cybersecur. (2023)
Keyphrases
- anomaly detection
- intrusion detection system
- resource constrained
- intrusion detection
- network security
- network intrusion detection
- resource constraints
- wireless sensor networks
- detecting anomalies
- network traffic
- computer networks
- sensor networks
- embedded systems
- distributed intrusion detection
- misuse detection
- security mechanisms
- computer security
- normal behavior
- alert correlation
- low cost
- rfid tags
- sensor nodes
- network intrusion
- energy consumption
- unsupervised learning
- intrusion prevention
- detect anomalies
- one class support vector machines
- databases
- information security
- data mining techniques
- fraud detection