Novel Analytical Models for Sybil Attack Detection in IPv6-based RPL Wireless IoT Networks

Jae Dong Kim; Minseok Ko; Jong Moon Chung

doi:10.1109/ICCE53296.2022.9730349

Novel Analytical Models for Sybil Attack Detection in IPv6-based RPL Wireless IoT Networks

Jae Dong Kim, Minseok Ko, Jong Moon Chung

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Metaverse technologies depend on various advanced human-computer interaction (HCI) devices to be supported by extended reality (XR) technology. Many new HCI devices are supported by wireless Internet of Things (IoT) networks, where a reliable routing scheme is essential for seamless data trans-mission. Routing Protocol for Low power and Lossy networks (RPL) is a key routing technology used in IPv6-based low power and lossy networks (LLNs). However, in the networks that are configured, such as small wireless devices applying the IEEE 802.15.4 standards, due to the lack of a system that manages the identity (ID) at the center, the maliciously compromised nodes can make fabricated IDs and pretend to be a legitimate node. This behavior is called Sybil attack, which is very difficult to respond to since attackers use multiple fabricated IDs which are legally disguised. In this paper, Sybil attack countermeasures on RPL-based networks published in recent studies are compared and limitations are analyzed through simulation performance analysis.

Original language	English
Title of host publication	2022 IEEE International Conference on Consumer Electronics, ICCE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665441544
DOIs	https://doi.org/10.1109/ICCE53296.2022.9730349
Publication status	Published - 2022
Event	2022 IEEE International Conference on Consumer Electronics, ICCE 2022 - Virtual, Online, United States Duration: 2022 Jan 7 → 2022 Jan 9

Publication series

Name	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
Volume	2022-January
ISSN (Print)	0747-668X

Conference

Conference	2022 IEEE International Conference on Consumer Electronics, ICCE 2022
Country/Territory	United States
City	Virtual, Online
Period	22/1/7 → 22/1/9

Bibliographical note

Funding Information:
This research was supported by the Ministry of Science and ICT (D0318-21-1008) and the National Fire Agency (20017102) of the Republic of Korea.

Publisher Copyright:
© 2022 IEEE.

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ICCE53296.2022.9730349

Cite this

Kim, J. D., Ko, M., & Chung, J. M. (2022). Novel Analytical Models for Sybil Attack Detection in IPv6-based RPL Wireless IoT Networks. In 2022 IEEE International Conference on Consumer Electronics, ICCE 2022 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; Vol. 2022-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE53296.2022.9730349

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abstract = "Metaverse technologies depend on various advanced human-computer interaction (HCI) devices to be supported by extended reality (XR) technology. Many new HCI devices are supported by wireless Internet of Things (IoT) networks, where a reliable routing scheme is essential for seamless data trans-mission. Routing Protocol for Low power and Lossy networks (RPL) is a key routing technology used in IPv6-based low power and lossy networks (LLNs). However, in the networks that are configured, such as small wireless devices applying the IEEE 802.15.4 standards, due to the lack of a system that manages the identity (ID) at the center, the maliciously compromised nodes can make fabricated IDs and pretend to be a legitimate node. This behavior is called Sybil attack, which is very difficult to respond to since attackers use multiple fabricated IDs which are legally disguised. In this paper, Sybil attack countermeasures on RPL-based networks published in recent studies are compared and limitations are analyzed through simulation performance analysis.",

author = "Kim, {Jae Dong} and Minseok Ko and Chung, {Jong Moon}",

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Kim, JD, Ko, M & Chung, JM 2022, Novel Analytical Models for Sybil Attack Detection in IPv6-based RPL Wireless IoT Networks. in 2022 IEEE International Conference on Consumer Electronics, ICCE 2022. Digest of Technical Papers - IEEE International Conference on Consumer Electronics, vol. 2022-January, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE International Conference on Consumer Electronics, ICCE 2022, Virtual, Online, United States, 22/1/7. https://doi.org/10.1109/ICCE53296.2022.9730349

Novel Analytical Models for Sybil Attack Detection in IPv6-based RPL Wireless IoT Networks. / Kim, Jae Dong; Ko, Minseok; Chung, Jong Moon.

2022 IEEE International Conference on Consumer Electronics, ICCE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; Vol. 2022-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N1 - Funding Information: This research was supported by the Ministry of Science and ICT (D0318-21-1008) and the National Fire Agency (20017102) of the Republic of Korea. Publisher Copyright: © 2022 IEEE.

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Kim JD, Ko M, Chung JM. Novel Analytical Models for Sybil Attack Detection in IPv6-based RPL Wireless IoT Networks. In 2022 IEEE International Conference on Consumer Electronics, ICCE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). doi: 10.1109/ICCE53296.2022.9730349

Novel Analytical Models for Sybil Attack Detection in IPv6-based RPL Wireless IoT Networks

Abstract

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