The benefits of deceit: a malicious client in a 5G cellular network

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dc.contributor.author Quinlan, Jason J.
dc.contributor.author Roedig, Utz
dc.date.accessioned 2019-07-17T10:58:54Z
dc.date.available 2019-07-17T10:58:54Z
dc.date.issued 2019-07
dc.identifier.citation Quinlan, J. J. and Roedig, U. (2019) 'The benefits of deceit: a malicious client in a 5G cellular network', IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN), Paris, France, 1-3 July. en
dc.identifier.uri http://hdl.handle.net/10468/8186
dc.description.abstract As we advance towards Smart Cities, autonomous vehicles and the avalanche of IoT devices proposed for the future, we need to give careful consideration to how easily compromised nodes/devices can impact network state. Current proposals for autonomous smart devices typically use cellular networks as the backhaul or final hop. These devices will leverage existing trust-based client-side channel metrics, such as channel quality indicator (CQI), when the base-station determines scheduling decisions. In this short paper, we investigate the scheduling impact of a malicious device when it changes its channel metrics, so as to improve its download rate or even to negate the download rate of others. We utilise real-time 4K ultra-high definition video delivery as an example of high throughput demand application and compare the delivery rates of multiple devices in an open-source 5G simulated NS-3 network. Our results illustrate that when a malicious client deceives the scheduler, the other clients in the network have a noticeable decrease in both viewable quality and underlying delivery rate (25% decrease in the average video quality across the non malicious clients). en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en
dc.relation.ispartof IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)
dc.rights © 2019, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en
dc.subject Channel quality indicator en
dc.subject CQI en
dc.subject Scheduling en
dc.subject Malicious device en
dc.subject Download rate en
dc.subject High throughput demand application en
dc.subject Real-time en
dc.subject 4K ultra-high definition video en
dc.subject Open-source 5G simulated NS-3 network en
dc.subject Delivery rate en
dc.title The benefits of deceit: a malicious client in a 5G cellular network en
dc.type Conference item en
dc.internal.authorcontactother Jason Quinlan, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: j.quinlan@cs.ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2019-07-17T10:54:17Z
dc.description.version Accepted Version en
dc.internal.rssid 483843791
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.internal.copyrightchecked Yes
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Paris, France en
dc.internal.IRISemailaddress j.quinlan@cs.ucc.ie en
dc.internal.bibliocheck In press. Add page range, doi, url, publication date, issn/isbn. Amend citation as necessary. en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Investigator Programme/13/IA/1892/IE/An Internet Infrastructure for Video Streaming Optimisation (iVID)/ en


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