Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Identifying User Actions from HTTP(S) Traffic
Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.
University of Auckland, New Zealand.
2016 (English)In: 2016 IEEE 41ST CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN), IEEE , 2016, p. 555-558Conference paper, Published paper (Refereed)
Abstract [en]

When understanding modern web usage and providing optimized personalized service, it is important to identify the HTTP(S) requests directly caused by user actions like clicks and typing web addresses. With a majority of HTTP(S) requests being due to content that has not been explicitly requested by a user, the problem of identifying user actions at proxies or middleboxes becomes non-trivial. We present an automated evaluation framework for identifying user actions while also automatically providing a "ground truth" of the user actions. We utilize the framework to compare the performance of timing-based and HTTP-aware request classifiers, including timing-based classifiers operating on both per-request and per-connection basis to identify user actions. We emphasize the value of diverse information used by the classifiers when comparing identification accuracy both among classifiers and relative to the browser-based ground truth. Our classifiers can be useful to better understand users web usage and connection prioritization.

Place, publisher, year, edition, pages
IEEE , 2016. p. 555-558
Series
Conference on Local Computer Networks, ISSN 0742-1303
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-134327DOI: 10.1109/LCN.2016.91ISI: 000391436100082ISBN: 978-1-5090-2054-6 (print)OAI: oai:DiVA.org:liu-134327DiVA: diva2:1071668
Conference
41st IEEE Conference on Local Computer Networks (LCN)
Available from: 2017-02-06 Created: 2017-02-03 Last updated: 2017-03-16

Open Access in DiVA

fulltext(578 kB)37 downloads
File information
File name FULLTEXT01.pdfFile size 578 kBChecksum SHA-512
ca595917cfb42104592a67f92b330e7b795e0dbf24a43ca8ab8a21df025eda8633e57b7397896d8d62a7798e11611ae3377470637625cf1c2716e4dd38743c09
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Rizothanasis, GeorgiosCarlsson, Niklas
By organisation
Department of Computer and Information ScienceFaculty of Science & EngineeringDatabase and information techniques
Telecommunications

Search outside of DiVA

GoogleGoogle Scholar
Total: 37 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 51 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf