Visible to the public Review on Mechanisms for Detecting Sinkhole Attacks on RPLs

TitleReview on Mechanisms for Detecting Sinkhole Attacks on RPLs
Publication TypeConference Paper
Year of Publication2017
AuthorsAlzubaidi, M., Anbar, M., Al-Saleem, S., Al-Sarawi, S., Alieyan, K.
Conference Name2017 8th International Conference on Information Technology (ICIT)
Date Publishedmay
ISBN Number978-1-5090-6332-1
Keywords6LoWPAN, composability, computer network security, cyber physical systems security, existing detection mechanisms, existing security challenges, Internet, Internet of Things, Internet Protocol version 6, IP networks, IPv6 packet, limited resources, lossy network, low power wireless personal area networks, maintenance engineering, network damage, network layer, Network topology, Peer-to-peer computing, personal area networks, pubcrawl, resilience, Resiliency, Routing attack, Routing Protocol, Routing protocols, RPL, RPL components, security, Sinkhole attack, telecommunication security, Topology, Wireless sensor networks, WSN

Internet Protocol version 6 (IPv6) over Low power Wireless Personal Area Networks (6LoWPAN) is extensively used in wireless sensor networks (WSNs) due to its ability to transmit IPv6 packet with low bandwidth and limited resources. 6LoWPAN has several operations in each layer. Most existing security challenges are focused on the network layer, which is represented by its routing protocol for low-power and lossy network (RPL). RPL components include WSN nodes that have constrained resources. Therefore, the exposure of RPL to various attacks may lead to network damage. A sinkhole attack is a routing attack that could affect the network topology. This paper aims to investigate the existing detection mechanisms used in detecting sinkhole attack on RPL-based networks. This work categorizes and presents each mechanism according to certain aspects. Then, their advantages and drawbacks with regard to resource consumption and false positive rate are discussed and compared.

Citation Keyalzubaidi_review_2017