e-G2C: A 0.14-to-8.31 μJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM.
Yang ZhaoYongan ZhangYonggan FuXu OuyangCheng WanShang WuAnton BantaMathews M. JohnAllison PostMehdi RazaviJoseph R. CavallaroBehnaam AazhangYingyan LinPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- high speed
- single chip
- intrusion detection
- processor core
- neural network
- detecting anomalies
- network traffic
- unsupervised anomaly detection
- knn
- intrusion detection system
- anomalous behavior
- ibm power processor
- unsupervised learning
- computer security
- one class support vector machines
- artificial neural networks
- behavior analysis
- detect anomalies
- bayesian networks
- network security
- negative selection algorithm
- detecting anomalous
- connectionist systems
- network intrusion detection
- network anomaly detection
- malware detection
- normal behavior
- ecg signals
- pairwise
- cumulative sum
- genetic algorithm