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Post-Deployment Anomaly Detection and Diagnosis in Networked Embedded Systems by Program Profiling and Symptom Mining.
Wei Dong
Luyao Luo
Chun Chen
Jiajun Bu
Xue Liu
Yunhao Liu
Published in:
IEEE Trans. Parallel Distributed Syst. (2016)
Keyphrases
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anomaly detection
embedded systems
detect anomalies
intrusion detection
anomalous behavior
low cost
embedded devices
embedded software
detecting anomalies
software systems
network traffic
network intrusion detection
cyber physical systems
intrusion detection system
text mining
unsupervised learning
network security
one class support vector machines
network anomaly detection
data mining
negative selection algorithm
knowledge discovery
machine learning
normal behavior
malware detection
sequential patterns
itemsets
data mining techniques
software engineering
semi supervised
protocol stack