WMSNs Data Hidden Anomaly Detection Based on OH-KFJLT Bloom Filter
With the rapid development of the Industrial Internet of Things (IIoT), the volume and size of data handled by Wireless Multimedia Sensor Networks(WMSNs) have increased dramatically. Sensors suffer from damage due to continuous high-load usage and wear, leading to anomalies in sensor data collected...
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Main Authors: | Chenkai Xiao, Zhongsheng Li, Yanming Wu |
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Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10747336/ |
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