Online Encoder-decoder Anomaly Detection using Encoder-decoder Architecture with Novel Self-configuring Neural Networks & Pure Linear Genetic Programming for Embedded Systems.
Gabriele KasparaviciuteMalin ThelinPeter NordinPer SöderstamChristian MagnussonMattias AlmljungPublished in: IJCCI (2019)
Keyphrases
- anomaly detection
- embedded systems
- video codec
- decoding process
- genetic programming
- video decoder
- distributed video coding
- error control
- wyner ziv
- neural network
- low complexity
- video coding
- rate distortion
- intrusion detection
- bit rate
- connectionist systems
- hardware software
- low cost
- anomalous behavior
- detecting anomalies
- network traffic
- real time
- bitstream
- network intrusion detection
- intrusion detection system
- one class support vector machines
- detect anomalies
- motion vectors
- genetic algorithm
- motion compensation
- motion estimation
- network anomaly detection
- pattern recognition
- software systems
- protocol stack
- object recognition
- field programmable gate array
- network security
- negative selection algorithm