Biblio
Filters: Keyword is Low-power and Lossy Networks (LLNs) [Clear All Filters]
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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.
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2020. Trust Based Mechanism Using Multicast Routing in RPL for the Internet of Things. 2020 12th International Conference on Computational Intelligence and Communication Networks (CICN). :392–397.
RPL, the IPv6 Routing Protocol for low-power and lossy networks, was standardized by the Internet Engineering Task Force (IETF) in 2011. It is developed to connect resource constrained devices enabled by low-power and lossy networks (LLNs). RPL prominently becomes the routing protocol for IoT. However, the RPL protocol is facing many challenges such as trustworthiness among the nodes which need to be addressed and resolved to make the network secure and efficient. In this paper, a multicasting technique is developed that is based on trust mechanism to resolve this issue. This mechanism manages and protects the network from untrusted nodes which can hamper the security and result in delayed and distorted transmission of data. It allows any node to decide whether to trust other nodes or not during the construction of the topology. This is then proved efficient by comparing it with broadcasting nature of the transmission among the nodes in terms of energy, throughput, percentage of alive and dead nodes.