A Comparison on Feature Selection Methods using Machine Learning Algorithms for improving the Performance Parameters of RPL-BASED IoT Attacks Classification-Reference-Cited by-同舟云学术

A Comparison on Feature Selection Methods using Machine Learning Algorithms for improving the Performance Parameters of RPL-BASED IoT Attacks Classification

Published:2022-09-21 Issue: Volume: Page:
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Container-title:2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA)
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Author:

Nandhini P. S.¹,Kuppuswami S.²,Harish M.³,Gomanishwaran S.³,Bharani S.³

Affiliation:

1. Kongu Engineering College,Dept of CSE,Erode,India

2. VCEW,Dept of CSE,Namakkal,India

3. KEC,Dept of CSE,Erode,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9985450/9985015/09985557.pdf?arnumber=9985557

Reference15 articles.

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4. Detection of Localization Error in a WSN under Sybil Attack using Advanced DVHop Methodology;suma;J Sustain Wireless Syst,2021

5. An integrated rule based intrusion detection system: analysis on UNSW -NB15 data set and the real time online dataset;vikash;Cluster Computing,2020

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