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Filters: Author is Kim, Jae-Dong  [Clear All Filters]
2023-01-05
Kim, Jae-Dong, Ko, Minseok, Chung, Jong-Moon.  2022.  Novel Analytical Models for Sybil Attack Detection in IPv6-based RPL Wireless IoT Networks. 2022 IEEE International Conference on Consumer Electronics (ICCE). :1–3.
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.