Implementing Lightweight IoT-IDS on Raspberry Pi Using Correlation-Based Feature Selection and Its Performance Evaluation

Yan Naung Soe, Yaokai Feng, Paulus Insap Santosa, Rudy Hartanto, Kouichi Sakurai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The application of many IoT devices is making our world more convenient and efficient. However, it also makes a large number of cyber-attacks possible because most IoT devices have very limited resources and cannot perform ordinary intrusion detection systems. How to implement efficient and lightweight IDS in IoT environments is a critically important and challenging task. Several detection systems have been implemented on Raspberry Pi, but most of them are signature-based and only allow limited rules. In this study, a lightweight IDS based on machine learning is implemented on a Raspberry Pi. To make the system lightweight, a correlation-based feature selection algorithm is applied to significantly reduce the number of features and a lightweight classifier is utilized. The performance of our system is examined in detail and the experimental result indicates that our system is lightweight and has a much higher detection speed with almost no sacrifice of detection accuracy.

Original languageEnglish
Title of host publicationAdvanced Information Networking and Applications - Proceedings of the 33rd International Conference on Advanced Information Networking and Applications AINA-2019
EditorsMakoto Takizawa, Tomoya Enokido, Leonard Barolli, Fatos Xhafa
PublisherSpringer Verlag
Pages458-469
Number of pages12
ISBN (Print)9783030150310
DOIs
Publication statusPublished - Jan 1 2020
Event33rd International Conference on Advanced Information Networking and Applications, AINA-2019 - Matsue, Japan
Duration: Mar 27 2019Mar 29 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume926
ISSN (Print)2194-5357

Conference

Conference33rd International Conference on Advanced Information Networking and Applications, AINA-2019
CountryJapan
CityMatsue
Period3/27/193/29/19

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Soe, Y. N., Feng, Y., Santosa, P. I., Hartanto, R., & Sakurai, K. (2020). Implementing Lightweight IoT-IDS on Raspberry Pi Using Correlation-Based Feature Selection and Its Performance Evaluation. In M. Takizawa, T. Enokido, L. Barolli, & F. Xhafa (Eds.), Advanced Information Networking and Applications - Proceedings of the 33rd International Conference on Advanced Information Networking and Applications AINA-2019 (pp. 458-469). (Advances in Intelligent Systems and Computing; Vol. 926). Springer Verlag. https://doi.org/10.1007/978-3-030-15032-7_39