@inproceedings{ee0ebbe61eef40cc96dea80d558ee0b2,
title = "RPL Attack Detection in IoT Environments: An Ensemble Approach",
abstract = "The Internet of Things{\textquoteright} rapid growth has given rise to significant security challenges. This paper addresses security concerns in IoT within Low power and Lossy Networks (LLNs) that utilize the Routing Protocol for Low Power and Lossy Networks (RPL). We propose a novel ensemble classifier, DT- NB-ANN-SGD, to detect various RPL attacks. Our experimentation compares this ensemble approach with individual classifiers (DT, NB, ANN, SGD) using the ROUT-4-2023 dataset. Results indicate promising accuracy (86.21%) but highlight the need for further improvement in recall and F1 scores. This study contributes insights for enhancing RPL attack detection in IoT environments.",
keywords = "DoS, Ensemble method, IoT, ML, RPL",
author = "Ashley Etheridge and Vaibhav Anu",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; International IoT, Electronics and Mechatronics Conference, IEMTRONICS 2024 ; Conference date: 03-04-2024 Through 05-04-2024",
year = "2025",
doi = "10.1007/978-981-97-4784-9_8",
language = "English",
isbn = "9789819747832",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "113--122",
editor = "Bradford, {Phillip G.} and Gadsden, {S. Andrew} and Koul, {Shiban K.} and Ghatak, {Kamakhya Prasad}",
booktitle = "Proceedings of IEMTRONICS 2024 - International IoT, Electronics and Mechatronics Conference",
}