Towards Mining Latent Client Identifiers from Network Traffic

Towards Mining Latent Client Identifiers from Network Traffic

Websites extensively track users via identifiers that uniquely map to client machines or user accounts. Although such tracking has desirable properties like enabling personalization and website analytics, it also raises serious concerns about online user privacy, and can potentially enable illicit s...

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Bibliographic Details
Main Authors: Jain Sakshi, Javed Mobin, Paxson Vern
Format: Article
Language:English
Published: Sciendo 2016-04-01
Series:Proceedings on Privacy Enhancing Technologies
Subjects:
privacy
client identifiers
mining network traffic
tracking
Online Access:https://doi.org/10.1515/popets-2016-0007
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spelling doaj-8d0ab1022c944c23a1dea2e52bc85dbe2021-09-05T13:59:51ZengSciendoProceedings on Privacy Enhancing Technologies2299-09842016-04-012016210011410.1515/popets-2016-0007popets-2016-0007Towards Mining Latent Client Identifiers from Network TrafficJain Sakshi0Javed Mobin1Paxson Vern2UC Berkeley, LinkedInUC BerkeleyUC Berkeley, ICSIWebsites extensively track users via identifiers that uniquely map to client machines or user accounts. Although such tracking has desirable properties like enabling personalization and website analytics, it also raises serious concerns about online user privacy, and can potentially enable illicit surveillance by adversaries who broadly monitor network traffic.https://doi.org/10.1515/popets-2016-0007privacyclient identifiersmining network traffictracking
collection DOAJ
language English
format Article
sources DOAJ
author Jain Sakshi
Javed Mobin
Paxson Vern
spellingShingle Jain Sakshi
Javed Mobin
Paxson Vern
Towards Mining Latent Client Identifiers from Network Traffic
Proceedings on Privacy Enhancing Technologies
privacy
client identifiers
mining network traffic
tracking
author_facet Jain Sakshi
Javed Mobin
Paxson Vern
author_sort Jain Sakshi
title Towards Mining Latent Client Identifiers from Network Traffic
title_short Towards Mining Latent Client Identifiers from Network Traffic
title_full Towards Mining Latent Client Identifiers from Network Traffic
title_fullStr Towards Mining Latent Client Identifiers from Network Traffic
title_full_unstemmed Towards Mining Latent Client Identifiers from Network Traffic
title_sort towards mining latent client identifiers from network traffic
publisher Sciendo
series Proceedings on Privacy Enhancing Technologies
issn 2299-0984
publishDate 2016-04-01
description Websites extensively track users via identifiers that uniquely map to client machines or user accounts. Although such tracking has desirable properties like enabling personalization and website analytics, it also raises serious concerns about online user privacy, and can potentially enable illicit surveillance by adversaries who broadly monitor network traffic.
topic privacy
client identifiers
mining network traffic
tracking
url https://doi.org/10.1515/popets-2016-0007
work_keys_str_mv AT jainsakshi towardsmininglatentclientidentifiersfromnetworktraffic
AT javedmobin towardsmininglatentclientidentifiersfromnetworktraffic
AT paxsonvern towardsmininglatentclientidentifiersfromnetworktraffic
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