A Distributed Anomaly Detection Scheme Based on Correlation Awareness in WSN
Author:
Funder
Scientific Research Program of the Science and Technology Department of Shaanxi Province
Shaanxi Provincial Education Department
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11277-024-10930-w.pdf
Reference43 articles.
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3. Praveen Kumar, D., Amgoth, T., & Annavarapu, C. S. R. (2019). Machine learning algorithms for wireless sensor networks. A survey. Information Fusion, 49, 1–25. https://doi.org/10.1016/j.inffus.2018.09.013
4. Gao, C., Wang, G., Shi, W., Wang, Z., & Chen, Y. (2022). Autonomous driving security: State of the art and challenges. IEEE Internet of Things Journal, 9(10), 7572–7595. https://doi.org/10.1109/JIOT.2021.3130054
5. De Paola, A., Gaglio, S., Re, G. L., Milazzo, F., & Ortolani, M. (2015). Adaptive distributed outlier detection for WSNs. IEEE Transactions on Cybernetics, 45(5), 902–913. https://doi.org/10.1109/TCYB.2014.2338611
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