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Context-Aware Adaptive Anomaly Detection in IoT Systems
Rozhin Yasaei
, Mohammad Abdullah Al Faruque
Research output
:
Chapter in Book/Report/Conference proceeding
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Chapter
5
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Scopus citations
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Dive into the research topics of 'Context-Aware Adaptive Anomaly Detection in IoT Systems'. Together they form a unique fingerprint.
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Keyphrases
Context-aware
100%
Internet of Things System
100%
Adaptive Anomaly Detection
100%
Internet of Things Sensors
66%
Sensor Association
66%
Cyber
33%
International Conference
33%
Copyright
33%
Vulnerability
33%
Sensor Data
33%
Physical Properties
33%
Novel Sensor
33%
System Testing
33%
Reliability Issues
33%
Internet of Things
33%
Contextual Information
33%
Security Issues
33%
Anomaly Detection System
33%
Physical Layer
33%
Internet of Things Devices
33%
Long Short-term Memory Neural Network
33%
Network Layer
33%
Cross-layer
33%
Consensus Algorithm
33%
Real-time Constraints
33%
Fog Computing
33%
Detecting Anomalies
33%
Application Layer
33%
Cross-domain
33%
Computer-aided Design
33%
Model Updating
33%
Sensor Clustering
33%
Cyber-physical Applications
33%
Association Algorithm
33%
Context-aware Anomaly Detection
33%
Neural Network Estimator
33%
Anomaly Source
33%
Gaussian Estimates
33%
Adaptive Context-aware
33%
Computer Science
Anomaly Detection
100%
Internet-Of-Things
100%
Computer Aided Design
33%
Time Constraint
16%
Detection Method
16%
Internet of Things Device
16%
Physical Layer
16%
Consensus Algorithm
16%
Fog Computing
16%
Detect Anomaly
16%
Long Short-Term Memory Neural Network
16%
Application Layer
16%
Contextual Information
16%