A Spatiotemporal and Multivariate Attribute Correlation Extraction Scheme for Detecting Abnormal Nodes in WSNs
Many heterogeneous sensors exhibit strong spatio-temporal correlations that can be used to enhance the abnormal node detection problem in a wireless sensor network (WSN). Corruption in these correlations has been shown effective in detecting false data injection attacks. In this paper, we adopt a ne...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9548894/ |