Syndrome: Spectral analysis for anomaly detection on medical IoT and embedded devices.
Nader SehatbakhshMonjur AlamAlireza NazariAlenka G. ZajicMilos PrvulovicPublished in: HOST (2018)
Keyphrases
- anomaly detection
- spectral analysis
- embedded devices
- intrusion detection
- embedded systems
- mobile devices
- management system
- detecting anomalies
- network traffic
- anomalous behavior
- limited memory
- one class support vector machines
- network intrusion detection
- filter bank
- unsupervised learning
- intrusion detection system
- autoregressive
- detect anomalies
- data storage
- speech signal
- network security
- context aware
- low cost
- pairwise
- pattern recognition
- information retrieval
- machine learning