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A Web Browser Fingerprinting Method Based on the Web Audio API.

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Title: A Web Browser Fingerprinting Method Based on the Web Audio API.
Authors: Queiroz, Jordan S, Feitosa, Eduardo L
Source: Computer Journal; Aug2019, Vol. 62 Issue 8, p1106-1120, 15p
Subject Terms: RIGHT of privacy, MULTI-factor authentication
Abstract: Web Browser Fingerprinting is a process in which the users are, with high likelihood, uniquely identified by the extracted features from their devices, generating an identifier key (fingerprint). Although it can be used for malicious purposes, especially regarding privacy invasion, Web Browser Fingerprinting can also be used to enhance security (e.g. as a factor in two-factor authentication). This paper investigates the use of Web Audio API as a Web Browser Fingerprinting method capable of identifying the devices. The idea is to prove or not if audio can provide features capable to identify users and devices. Our initial results show that the proposed method is capable of identifying the device's class, based on features like device's type, web browser's version and rendering engine. [ABSTRACT FROM AUTHOR]
Copyright of Computer Journal is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index
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Items – Name: Title
  Label: Title
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  Data: A Web Browser Fingerprinting Method Based on the Web Audio API.
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Queiroz%2C+Jordan+S%22">Queiroz, Jordan S</searchLink><br /><searchLink fieldCode="AR" term="%22Feitosa%2C+Eduardo+L%22">Feitosa, Eduardo L</searchLink>
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  Data: Computer Journal; Aug2019, Vol. 62 Issue 8, p1106-1120, 15p
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22RIGHT+of+privacy%22">RIGHT of privacy</searchLink><br /><searchLink fieldCode="DE" term="%22MULTI-factor+authentication%22">MULTI-factor authentication</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Web Browser Fingerprinting is a process in which the users are, with high likelihood, uniquely identified by the extracted features from their devices, generating an identifier key (fingerprint). Although it can be used for malicious purposes, especially regarding privacy invasion, Web Browser Fingerprinting can also be used to enhance security (e.g. as a factor in two-factor authentication). This paper investigates the use of Web Audio API as a Web Browser Fingerprinting method capable of identifying the devices. The idea is to prove or not if audio can provide features capable to identify users and devices. Our initial results show that the proposed method is capable of identifying the device's class, based on features like device's type, web browser's version and rendering engine. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Computer Journal is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1093/comjnl/bxy146
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      – Code: eng
        Text: English
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        PageCount: 15
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      – SubjectFull: RIGHT of privacy
        Type: general
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              Text: Aug2019
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              Y: 2019
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