Device Fingerprinting: Analysis of Chosen Fingerprinting Methods

Anna Kobusińska; Jerzy Brzeziński; Kamil Pawulczuk

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Paper

Device Fingerprinting: Analysis of Chosen Fingerprinting Methods

Topics: Conceptual frameworks and models; Security, Privacy and Risk; Security, Privacy and Trust ; Software engineering for security modeling, business process modeling and analytics; Surveys and their quantitative analysis; System design and implementation

In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security IoTBDS - Volume 1, 167-177, 2017 , Porto, Portugal

Authors: Anna Kobusińska ; Jerzy Brzeziński and Kamil Pawulczuk

Affiliation: Poznań University of Technology, Poland

Keyword(s): IoT, Big Data, Fingerprinting, Web Tracking, Security.

Abstract: Device fingerprinting is a modern technique of using available information to distinguish devices. Fingerprinting can be used as a replacement for storing user identifiers in cookies or local storage. In this paper we discover features and corresponding optimal implementations that may enrich and improve an open-source fingerprinting library Fingerprintjs2 that is daily consumed by hundreds of websites. As a result, the paper provides a noticeable progress in the analysis of fingerprinting solutions.

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Paper citation in several formats:

Kobusińska, A.; Brzeziński, J. and Pawulczuk, K. (2017). Device Fingerprinting: Analysis of Chosen Fingerprinting Methods. In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-245-5; ISSN 2184-4976, SciTePress, pages 167-177. DOI: 10.5220/0006375701670177

@conference{iotbds17,
author={Anna Kobusińska. and Jerzy Brzeziński. and Kamil Pawulczuk.},
title={Device Fingerprinting: Analysis of Chosen Fingerprinting Methods},
booktitle={Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2017},
pages={167-177},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006375701670177},
isbn={978-989-758-245-5},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - Device Fingerprinting: Analysis of Chosen Fingerprinting Methods
SN - 978-989-758-245-5
IS - 2184-4976
AU - Kobusińska, A.
AU - Brzeziński, J.
AU - Pawulczuk, K.
PY - 2017
SP - 167
EP - 177
DO - 10.5220/0006375701670177
PB - SciTePress