Machine Learning-Based DoS Attack Detection Techniques in Wireless Sensor Network: A Review-Reference-Cited by-同舟云学术

Machine Learning-Based DoS Attack Detection Techniques in Wireless Sensor Network: A Review

Published:2023 Issue: Volume: Page:583-591
ISSN:2195-3988
Container-title:Proceedings of the International Conference on Cognitive and Intelligent Computing
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Author:

Sharma Hanjabam Saratchandra,Singh Moirangthem Marjit,Sarkar Arindam

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2358-6_53

Reference28 articles.

1. M.M. Singh, N. Dutta, Security issues in wireless sensor networks. Int. J. Distrib. Cloud Comput. 5(2) (2017). ISSN: 2321-6840

2. A.P. Abidoye, E.O. Ochola, Denial of service attacks in wireless sensor networks with proposed countermeasures, in Information Technology—New Generations, (2018), pp. 185–191. https://doi.org/10.1007/978-3-319-77028-4_27

3. S. Ghildiyal, A.K. Mishra, A. Gupta, N. Garg, Analysis of denial of service (DOS) attacks in wireless sensor networks. IJRET 3, 2319–1163 (2014)

4. M. Klassen, N. Yang, Anomaly based intrusion detection in wireless networks using Bayesian classifier, in 2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI). https://doi.org/10.1109/icaci.2012.6463163

5. N.A. Alrajeh, S. Khan, J.L. Mauri, J. Loo, Artificial neural network based detection of energy exhaustion attacks in wireless sensor networks capable of energy harvesting. Ad-Hoc Sens. Wireless Netw. 22, 109–133

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