Handling dynamic network behavior and unbalanced datasets for WSN anomaly detection

Author:

Kumar Ranjit,Tripathi Sachin,Agrawal Rajeev

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference41 articles.

1. Abdiansah A, Wardoyo R (2015) Time complexity analysis of support vector machines (SVM) in LibSVM. Int J Comput Appl 128:28–34

2. Ahmad B, Jian W, Ali ZA et al (2019) Hybrid anomaly detection by using clustering for wireless sensor network. Wirel Pers Commun 106:1841–1853. https://doi.org/10.1007/s11277-018-5721-6

3. Ali A, Ming Y, Chakraborty S, Iram S (2017) A comprehensive survey on real-time applications of WSN. Future Internet 9:77. https://doi.org/10.3390/fi9040077

4. Ali WA, Manasa KN, Bendechache M et al (2020) A Review of current machine learning approaches for anomaly detection in network traffic. J Telecommun Digit Econ 8:64–95

5. Aymen A, Kachouri A, Mahfoudhi A (2014) Anomaly detection in WSN: critical study with new vision. Proc Eng Technol (PET) 5:37–46

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