Presentation 2022-03-09
Active intrusion detection method for IoT devices
Takahiro Ohtani, Ryo Yamamoto, Satoshi Ohzahata,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In recent years, the threat of attacks against IoT (Internet of Things) devices has become apparent with the rapid spread of IoT technologies. Although installing an intrusion detection system (IDS) on IoT networks mitigates the risk of such attacks, the installation requires software rewriting or hardware replacement of existing IoT devices or IoT gateways in some cases. In this paper, we propose an intrusion detection method that actively obtains feature values from IoT devices focusing on detecting an indication of intrusions with minimal cost. For the proposed method, we focus on the fact that the number of packets transmitted per unit time can be obtained from the IPID value of IPv4 header in many IoT devices and detect an indication of intrusion based on the number obtained from the IPID value. We have also evaluated the detection and processing performance of the proposed method and confirmed that the proposed method can be used for intrusion detection and processing on low-power devices.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) intrusion detection system / Internet of Things / active intrusion detection / machine learning
Paper # CQ2021-101
Date of Issue 2022-03-02 (CQ)

Conference Information
Committee CQ / IMQ / MVE / IE
Conference Date 2022/3/9(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Online (Zoom)
Topics (in Japanese) (See Japanese page)
Topics (in English) Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc
Chair Jun Okamoto(NTT) / Kenya Uomori(Osaka Univ.) / Masayuki Ihara(RIKEN) / Kazuya Kodama(NII)
Vice Chair Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.) / Mitsuru Maeda(Canon) / Kiyoshi Kiyokawa(NAIST) / Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(Univ. of Tokyo)
Secretary Takefumi Hiraguri(NTT) / Gou Hasegawa(Ritsumeikan Univ.) / Mitsuru Maeda(Nagoya Univ.) / Kiyoshi Kiyokawa(NTT) / Hiroyuki Bandoh(Oosaka Inst. of Tech.) / Toshihiko Yamazaki(NTT)
Assistant Yoshiaki Nishikawa(NEC) / Ryoichi Kataoka(KDDI Research) / Kimiko Kawashima(NTT) / Masato Tsukada(NEC) / Takashi Yamazoe(Seikei Univ.) / Naoya Isoyama(NAIST) / Takenori Hara(DNP) / Mitsuhiro Goto(NTT) / Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT)

Paper Information
Registration To Technical Committee on Communication Quality / Technical Committee on Image Media Quality / Technical Committee on Media Experience and Virtual Environment / Technical Committee on Image Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Active intrusion detection method for IoT devices
Sub Title (in English)
Keyword(1) intrusion detection system
Keyword(2) Internet of Things
Keyword(3) active intrusion detection
Keyword(4) machine learning
1st Author's Name Takahiro Ohtani
1st Author's Affiliation The University of Electro-Communications(UEC)
2nd Author's Name Ryo Yamamoto
2nd Author's Affiliation The University of Electro-Communications(UEC)
3rd Author's Name Satoshi Ohzahata
3rd Author's Affiliation The University of Electro-Communications(UEC)
Date 2022-03-09
Paper # CQ2021-101
Volume (vol) vol.121
Number (no) CQ-421
Page pp.pp.5-10(CQ),
#Pages 6
Date of Issue 2022-03-02 (CQ)