Traffic Forensics for IPv6-Based Wireless Sensor Networks and the Internet of Things

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Research and standardisation efforts in the fields of Wireless Sensor Networks (WSNs) and the Internet of Things (IoT) are leading towards the adoption of TCP/IP for deployments of networks of severely constrained smart embedded objects. As a result, wireless sensors can now be uniquely identified by an IPv6 address and thus be directly connected to and reachable from the internet. This has a series of advantages but also exposes sensor deployments to new security vulnerabilities. Should a deployment be compromised, post-incident analysis can provide information about the nature of the attack by inspecting the network’s state and traffic during the time period prior, during and after the attack. In this paper we adopt traffic forensic techniques in order to achieve post-hoc detection of attacks against availability in IPv6-based Low-Power Wireless Personal Area Networks. To this end, we first implement an attack which exploits inherent vulnerabilities of the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL). Subsequently, we present an automated method to detect and analyse this attack by examining network packet captures.
Original languageEnglish
Title of host publication2016 IEEE 3rd World Forum on Internet of Things (WF-IoT 2016)
Subtitle of host publicationProceedings of a meeting held 12-14 December 2016, Reston, Virginia, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)9781509041305
ISBN (Print)9781509041312
Publication statusPublished - Mar 2017
Event3rd IEEE World Forum on Internet of Things - Reston, VA, United States
Duration: 12 Dec 201614 Dec 2016


Conference3rd IEEE World Forum on Internet of Things
Abbreviated titleWF-IoT 2016
Country/TerritoryUnited States
CityReston, VA


  • 6LoWPAN Forensics
  • Traffic Forensics
  • Wireless Sensor Networks


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    Oikonomou, G., Papadopoulos, G., Wojcik, M. & Tryfonas, T.


    Project: Research

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