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Lookup NU author(s): Konstantinos GoutsosORCiD, Dr Alex Bystrov
This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE, 2019.
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Given the recent rise of the Internet-of-Things (IoT), networked devices are becoming deeply embedded into everyday objects, leading to a need for novel security methods. Physical Unclonable Functions (PUFs) enable the differentiation between instances of the same device and have the potential to replace costly cryptographic operations while providing higher security guarantees, due to their inherent unclonability. We present a pairwise, continuous authentication protocol based on Physical Unclonable Functions (PUFs) and supporting mutual authentication on resource constrained nodes. The unclonability provided by the PUFs is an integral part of the authentication process to continuously prove the existence of the PUF secrets and the proposed protocol is executed periodically to enable the establishment of trust between the participants. This is achieved by refreshing the authentication information in every protocol round, leading to a `CRP Ratchet' mechanism of renewing the authenticating PUF challenge response pairs (CRPs). We also discuss the security and performance of the protocol in IoT applications with a large number of devices. Since the only operations used in the periodic protocol phase are hashing and exclusive OR, low computation, complexity, and energy consumption overhead is achieved.
Author(s): Goutsos K, Bystrov A
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 2019 International Conference on Computing, Electronics & Communications Engineering (iCCECE)
Year of Conference: 2019
Pages: 229-234
Online publication date: 26/12/2019
Acceptance date: 02/04/2018
Date deposited: 07/01/2022
Publisher: IEEE
URL: https://doi.org/10.1109/iCCECE46942.2019.8941608
DOI: 10.1109/iCCECE46942.2019.8941608
Library holdings: Search Newcastle University Library for this item
ISBN: 9781728121383