Effective analysis of secure web response time

dc.contributor.authorLópez Romera, Carlos
dc.contributor.authorMorató Osés, Daniel
dc.contributor.authorMagaña Lizarrondo, Eduardo
dc.contributor.authorIzal Azcárate, Mikel
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzareneu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.date.accessioned2020-04-15T11:15:34Z
dc.date.available2020-08-05T23:00:11Z
dc.date.issued2019
dc.description.abstractThe measurement of response time in web based applications is a common task for the evaluation of service responsiveness and the detection of network or server problems. Traffic analysis is the most common strategy for obtaining response time measurements. However, when the traffic is encrypted, the analysis tools cannot provide these measurement results. In this paper we propose a methodology for measuring the response time in HTTPS traffic based on the flow of data in each direction. We have validated the tool with real traffic and with a worst case scenario created in a testbed. When pipelining is present in the encrypted HTTP 1.1 traffic, it results in a small error in the measurement (between 5% and 15% of error for the 99.9 percentile of the real response time). However, pipelining support has almost disappeared from modern web browsers; this makes the estimation provided by this methodology very accurate in real traffic measurements, even for low probability response times. More than 98.8% of the over 8.6 million request-response times we measured in our campus Internet link were obtained without any error.en
dc.description.sponsorshipThis work was supported by Spanish MINECO through project PIT (TEC2015-69417-C2-2-R).en
dc.embargo.lift2020-08-05
dc.embargo.terms2020-08-05
dc.format.extent8 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.citationC. López, D. Morato, E. Magaña and M. Izal, 'Effective Analysis of Secure Web Response Time,' 2019 Network Traffic Measurement and Analysis Conference (TMA), Paris, France, 2019, pp. 145-152.en
dc.identifier.doi10.23919/TMA.2019.8784652
dc.identifier.isbn978-3-903176-17-1
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/36727
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartofTMA 2019 - Proceedings of the 3rd Network Traffic Measurement and Analysis Conference June 2019, Article number 8784652, Pages 145-152en
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//TEC2015-69417-C2-2-R/ES/
dc.relation.publisherversionhttps://doi.org/10.23919/TMA.2019.8784652
dc.rights© 2019 IFIP. 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 work.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectHTTPen
dc.subjectHTTPSen
dc.subjectTraffic analysisen
dc.subjectAPMen
dc.subjectResponse timeen
dc.titleEffective analysis of secure web response timeen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication729a384b-dd17-4e0b-91f5-cb884fce34cb
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relation.isAuthorOfPublication.latestForDiscovery729a384b-dd17-4e0b-91f5-cb884fce34cb

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