Blackhole Attack Prediction in Wireless Sensor Networks Using Support Vector Machine-Reference-Cited by-同舟云学术

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Blackhole Attack Prediction in Wireless Sensor Networks Using Support Vector Machine

Published:2023 Issue: Volume: Page:321-331
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Panda Niharika,Supriya M.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-8865-3_30

Reference22 articles.

1. Almusaylim A, Jhanjhi Z, Alhumam A (2020) Detection and mitigation of RPL rank and version number attacks in the internet of things: SRPL-RP. Sensors 20(21):5997

2. Alreshoodi M (2020) An experimental study of iot networks under internal routing attack. Available at SSRN 3690813

3. Ambarkar SS, Shekokar N (2021) Impact analysis of rpl attacks on 6lo wpan based internet of things network. In: 2021 IEEE International conference on electronics, computing and communication technologies (CONECCT), IEEE, pp 1–5

4. Duttagupta S, Kumar M, Ranjan R, Nambiar M (2016) Performance prediction of iot application: an experimental analysis. In: Proceedings of the 6th international conference on the internet of things, pp 43–51 (2016)

5. Foley J, Moradpoor N, Ochenyi H (2020) Employing a machine learning approach to detect combined internet of things attacks against two objective functions using a novel dataset. Secur Commun Netw

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