Latency based device fingerprinting in a low-power industrial wireless sensor network

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dc.contributor.advisor Hancke, Gerhard P.
dc.contributor.postgraduate Kruger, Carel Phillip
dc.date.accessioned 2021-07-08T12:01:30Z
dc.date.available 2021-07-08T12:01:30Z
dc.date.created 2021-09-01
dc.date.issued 2021
dc.description Dissertation (MEng (Computer Engineering))--University of Pretoria, 2021. en_ZA
dc.description.abstract Security is a key challenge for any IIoT network and more so for constrained IWSN deployments. Novel methods are thus required to enhance security, taking into consideration the lossy and low power nature of the IWSN. The use of ICMP packets is proposed as a method to generate fingerprinting information for IWSN devices. The ICMP based method uses the round-trip time information in the ICMP header as a fingerprinting metric. The results showed that the effect of the physical layer can be averaged out of the measurement if enough samples are available. A linear relationship was found between hop count and round-trip time for a static network which can be used in the design phase of the IWSN network or alternatively as a method to fingerprint routing anomalies in real-time. The ICMP method was able to differentiate between devices from different vendors, but unable to fingerprint devices from the same vendor due to physical layer interference. The work shows that fingerprinting in an IWSN using the ICMP method is possible if the timing delta under investigation is an order of magnitude larger than the timing variation introduced by the physical layer while maintaining a reasonable signal-to-noise ratio. en_ZA
dc.description.availability Unrestricted en_ZA
dc.description.degree MEng (Computer Engineering) en_ZA
dc.description.department Electrical, Electronic and Computer Engineering en_ZA
dc.identifier.citation * en_ZA
dc.identifier.other S2021 en_ZA
dc.identifier.uri http://hdl.handle.net/2263/80753
dc.language.iso en en_ZA
dc.publisher University of Pretoria
dc.rights © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
dc.subject UCTD en_ZA
dc.subject Fingerprinting en_ZA
dc.subject Industrial Internet of Things en_ZA
dc.subject Latency en_ZA
dc.subject Security en_ZA
dc.subject Wireless Sensor Network en_ZA
dc.title Latency based device fingerprinting in a low-power industrial wireless sensor network en_ZA
dc.type Dissertation en_ZA


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