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The Impact of Rank Attack on Network Topology of Routing Protocol for Low-Power and Lossy Networks
School of Engineering and Information Sciences, Middlesex University, London, United Kingdom.
School of Engineering and Information Sciences, Middlesex University, London, United Kingdom.
School of Engineering and Information Sciences, Middlesex University, London, United Kingdom.
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Centrum för forskning om inbyggda system (CERES). Tampere University of Technology, Tampere, Finland.ORCID-id: 0000-0003-4894-4134
Vise andre og tillknytning
2013 (engelsk)Inngår i: IEEE Sensors Journal, ISSN 1530-437X, E-ISSN 1558-1748, Vol. 13, nr 10, s. 3685-3692Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Routing protocol for low power and lossy networks (RPL) is the underlying routing protocol of 6LoWPAN, a core communication standard for the Internet of Things. RPL outperforms other wireless sensor and ad hoc routing protocols in quality of service (QoS), device management, and energy saving performance. The Rank concept in RPL serves multiple purposes, including route optimization, prevention of loops, and managing control overhead. In this paper, we analyze several different types of internal threats that are aimed at the Rank property and study their impact on the performance of the wireless sensor network. Our analysis raises the question of an RPL weakness, which is the lack of a monitoring parent in every node. In RPL, the child node only receives the parent information through control messages, but it cannot check the services that its parent provide hence it will follow a bad quality route if it has a malicious parent. Our results show that different types of the Rank attacks can be used to intentionally downgrade specific QoS parameters. This paper also reveals that attack in a high forwarding load area will have more impact on network performance than attack in other areas. The defenders can use the knowledge of such correlation between attack location and its impact to set higher security levels at particular positions by monitoring sensitive network parameters and detecting the anomalies © 2001-2012 IEEE.

sted, utgiver, år, opplag, sider
Piscataway, NJ: IEEE Press, 2013. Vol. 13, nr 10, s. 3685-3692
Emneord [en]
internal threat, performance, Rank attack, RPL, security
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-24268DOI: 10.1109/JSEN.2013.2266399ISI: 000324337900003Scopus ID: 2-s2.0-84883406171OAI: oai:DiVA.org:hh-24268DiVA, id: diva2:683103
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Article number 6525333

Tilgjengelig fra: 2014-01-02 Laget: 2014-01-02 Sist oppdatert: 2017-12-06bibliografisk kontrollert

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