loading
Papers

Research.Publish.Connect.

Paper

Authors: Anna Kobusińska ; Jerzy Brzeziński and Kamil Pawulczuk

Affiliation: Poznań University of Technology, Poland

ISBN: 978-989-758-245-5

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.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.85.214.0

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 - Volume 1: IoTBDS, ISBN 978-989-758-245-5, 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 - Volume 1: IoTBDS,},
year={2017},
pages={167-177},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006375701670177},
isbn={978-989-758-245-5},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Device Fingerprinting: Analysis of Chosen Fingerprinting Methods
SN - 978-989-758-245-5
AU - Kobusińska, A.
AU - Brzeziński, J.
AU - Pawulczuk, K.
PY - 2017
SP - 167
EP - 177
DO - 10.5220/0006375701670177

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.