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dc.contributor.authorAli, Junade
dc.contributor.authorDyo, Vladimir
dc.date.accessioned2021-01-18T09:45:01Z
dc.date.available2021-01-18T00:00:00Z
dc.date.available2021-01-18T09:45:01Z
dc.date.issued2021-01-16
dc.identifier.citationAli J, Dyo V (2021) 'Cross hashing: anonymizing encounters in decentralised contact tracing protocols', The 35th International Conference on Information Networking (ICOIN) - Jeju, .en_US
dc.identifier.doi10.1109/ICOIN50884.2021.9333939
dc.identifier.urihttp://hdl.handle.net/10547/624753
dc.description.abstractDuring the COVID-19 (SARS-CoV-2) epidemic, Contact Tracing emerged as an essential tool for managing the epidemic. App-based solutions have emerged for Contact Tracing, including a protocol designed by Apple and Google (influenced by an open-source protocol known as DP3T). This protocol contains two well-documented de-anonymisation attacks. Firstly that when someone is marked as having tested positive and their keys are made public, they can be tracked over a large geographic area for 24 hours at a time. Secondly, whilst the app requires a minimum exposure duration to register a contact, there is no cryptographic guarantee for this property. This means an adversary can scan Bluetooth networks and retrospectively find who is infected. We propose a novel ”cross hashing” approach to cryptographically guarantee minimum exposure durations. We further mitigate the 24-hour data exposure of infected individuals and reduce computational time for identifying if a user has been exposed using k-Anonymous buckets of hashes and Private Set Intersection. We empirically demonstrate that this modified protocol can offer like-for-like efficacy to the existing protocol.en_US
dc.language.isoenen_US
dc.relation.urlhttps://arxiv.org/abs/2005.12884en_US
dc.relation.urlhttps://ieeexplore.ieee.org/document/9333939
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectprivacy, wireless, trackingen_US
dc.titleCross hashing: anonymizing encounters in decentralised contact tracing protocolsen_US
dc.typeConference papers, meetings and proceedingsen_US
dc.contributor.departmentUniversity of Bedfordshireen_US
dc.date.updated2021-01-18T09:42:59Z
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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International