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Practical limits of the secret key-capacity for IoT physical layer security

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)9781509041305
ISBN (Print)9781509041312
DateAccepted/In press - 3 Oct 2016
DateE-pub ahead of print - 9 Feb 2017
DatePublished (current) - Mar 2017
Event3rd IEEE World Forum on Internet of Things, WF-IoT 2016 - Reston, United States
Duration: 12 Dec 201614 Dec 2016


Conference3rd IEEE World Forum on Internet of Things, WF-IoT 2016
CountryUnited States


The confidentiality of communications in the Internet of Things (IoT) is critical, with cryptography being currently the most widely employed method to achieve it. Establishing cryptographically secure communication links between two transceivers requires the pre-agreement on some key, unknown to an external attacker. In recent years there has been growing interest for techniques that generate a shared random key through observation of the channel and its effects on the exchanged messages. The maximum length of that key is characterised by the Mutual Information (MI) between the observations of the two radios. In this work we examine the practical limits of the MI of off-the-shelf transceivers communicating through the IEEE 802.15.4 specification in an indoor office environment, and calculate the secret-key capacity, that is, the maximum length of an extracted secret-key in the presence of an eavesdropper. Furthermore, we study how using groups of observations can affect the MI and both analytically and experimentally prove that grouping observations leads to better results and an increased key-capacity.

    Structured keywords

  • Digital Health


3rd IEEE World Forum on Internet of Things, WF-IoT 2016

Duration12 Dec 201614 Dec 2016
CountryUnited States
SponsorsARM (External organisation), Comcast - MachineQ (External organisation), DarkMatter (External organisation), LoRa Alliance (External organisation)

Event: Conference

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 4.67 MB, PDF document


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