Scalable anomaly detection in blockchain using graphics processing unit.
Shin MorishimaPublished in: Comput. Electr. Eng. (2021)
Keyphrases
- anomaly detection
- graphics processing units
- commodity hardware
- gpu implementation
- graphics hardware
- general purpose
- intrusion detection
- detecting anomalies
- parallel computing
- real time
- network intrusion detection
- anomalous behavior
- network traffic
- intrusion detection system
- massively parallel
- parallel computation
- parallel processing
- compute unified device architecture
- unsupervised learning
- detect anomalies
- efficient implementation
- network anomaly detection
- shared memory
- computing systems
- high performance computing
- floating point
- one class support vector machines
- negative selection algorithm
- parallel implementation
- cloud computing
- feature selection
- computer vision