Anomaly detection in WSN IoT (Internet of Things) environment through a consensus-based anomaly detection approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17894-2.pdf
Reference22 articles.
1. Miao X, Liu Y, Zhao H, Li C (2019) Distributed online one-class support vector machine for anomaly detection over networks. IEEE Trans Cybern 49(4):1475–1488. https://doi.org/10.1109/TCYB.2018.2804940
2. Xie H, Yan Z, Yao Z, Atiquzzaman M (2019) Data collection for security measurement in wireless sensor networks: a survey. IEEE Internet Things J 6(2):2205–2224. https://doi.org/10.1109/JIOT.2018.2883403
3. Dang T-B, Le D-T, Nguyen T-D, Kim M, Choo H (2021) Monotone split and conquer for anomaly detection in IoT sensory data. IEEE Internet Things J 8(20):15468–15485. https://doi.org/10.1109/JIOT.2021.3073705
4. Jiang S, Zhao J, Xu X (2020) SLGBM: an intrusion detection mechanism for wireless sensor networks in smart environments. IEEE Access 8:169548–169558. https://doi.org/10.1109/ACCESS.2020.3024219
5. Islam K, Shen W, Wang X (2012) Wireless sensor network reliability and security in factory automation: a survey. IEEE Trans Syst Man Cybern Part C (Appl Rev) 42(6):1243-1256. https://doi.org/10.1109/TSMCC.2012.2205680
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