uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
SVELTE: Real-time Intrusion Detection in the Internet of Things
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
2013 (English)In: Ad hoc networks, ISSN 1570-8705, Vol. 11, no 8, 2661-2674 p.Article in journal (Refereed) Published
Abstract [en]

In the Internet of Things (IoT), resource-constrained things are connected to the unreliable and untrusted Internet via IPv6 and 6LoWPAN networks. Even when they are secured with encryption and authentication, these things are exposed both to wireless attacks from inside the 6LoWPAN network and from the Internet. Since these attacks may succeed, Intrusion Detection Systems (IDS) are necessary. Currently, there are no IDSs that meet the requirements of the IPv6-connected IoT since the available approaches are either customized for Wireless Sensor Networks (WSN) or for the conventional Internet. In this paper we design, implement, and evaluate a novel intrusion detection system for the IoT that we call SVELTE. In our implementation and evaluation we primarily target routing attacks such as spoofed or altered information, sinkhole, and selective-forwarding. However, our approach can be extended to detect other attacks. We implement SVELTE in the Contiki OS and thoroughly evaluate it. Our evaluation shows that in the simulated scenarios, SVELTE detects all malicious nodes that launch our implemented sinkhole and/or selective forwarding attacks. However, the true positive rate is not 100%, i.e., we have some false alarms during the detection of malicious nodes. Also, SVELTE's overhead is small enough to deploy it on constrained nodes with limited energy and memory capacity.

Place, publisher, year, edition, pages
2013. Vol. 11, no 8, 2661-2674 p.
National Category
Computer Science
Research subject
Computer Science with specialization in Computer Communication
URN: urn:nbn:se:uu:diva-211838DOI: 10.1016/j.adhoc.2013.04.014ISI: 000326661900037OAI: oai:DiVA.org:uu-211838DiVA: diva2:668875
Available from: 2013-12-02 Created: 2013-12-02 Last updated: 2013-12-10Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Voigt, Thiemo
By organisation
Computer Systems
In the same journal
Ad hoc networks
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 223 hits
ReferencesLink to record
Permanent link

Direct link