An Anomalous Behavior Detection Method Based on Power Analysis Utilizing Steady State Power Waveform Predicted by LSTM.
Kazunari TakasakiRyoichi KidaNozomu TogawaPublished in: IOLTS (2021)
Keyphrases
- detection method
- steady state
- anomalous behavior
- power analysis
- anomaly detection
- differential power analysis
- markov chain
- countermeasures
- smart card
- product form
- detection algorithm
- operating conditions
- power consumption
- recurrent neural networks
- explicit expressions
- queue length
- arrival rate
- steady states
- queueing networks
- elliptic curve
- image sequences
- object recognition
- queueing model
- heavy traffic
- data mining
- information security
- intrusion detection system