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

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

8 被引用数 (Scopus)

抄録

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.

本文言語英語
ホスト出版物のタイトルAdvanced Information Networking and Applications - Proceedings of the 33rd International Conference on Advanced Information Networking and Applications AINA-2019
編集者Makoto Takizawa, Tomoya Enokido, Leonard Barolli, Fatos Xhafa
出版社Springer Verlag
ページ458-469
ページ数12
ISBN(印刷版)9783030150310
DOI
出版ステータス出版済み - 2020
イベント33rd International Conference on Advanced Information Networking and Applications, AINA-2019 - Matsue, 日本
継続期間: 3 27 20193 29 2019

出版物シリーズ

名前Advances in Intelligent Systems and Computing
926
ISSN(印刷版)2194-5357

会議

会議33rd International Conference on Advanced Information Networking and Applications, AINA-2019
国/地域日本
CityMatsue
Period3/27/193/29/19

All Science Journal Classification (ASJC) codes

  • 制御およびシステム工学
  • コンピュータ サイエンス(全般)

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