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Device Fingerprinting and Identification

Authors: Alfaraj, Omar Khalid;

Device Fingerprinting and Identification

Abstract

Abstract: Browsers are our portal to the web, and if users want a secure, adequate and smart services, websites need to know some information about their browser, operating system and their hardware device. Modern day browsers have evolved a lot; browsers that provide the beauty of the web also provide a dark side, a rich environment of exploitable information that can identify a device. This is called “device fingerprinting,” which is the technique of identifying visitors of a website and verifying if they are who they claim to be. The idea of fingerprinting is to gather some data that helps to recognize the user amongst others. The data collected could be categorized into three main types: Firstly, the device-related data such as graphics card type, and CPU information. Secondly, the information related to the software such as operating system and browser. Thirdly, the user behavioral data such as the mouse speed and keyboard pattern. Websites used to use cookies for identification, however, there is a new and better methodology nowadays. This paper will show what can be used for device fingerprinting as an alternative to cookies. I conclude that there is always a trade-off between privacy and a good service on the internet. Keywords: Fingerprints, browsers, uniqueness, verification, personal data, cookies. Title: Device Fingerprinting and Identification Author: Omar Khalid Alfaraj International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Vol. 11, Issue 1, January 2023 - March 2023 Page No: 71-78 Research Publish Journals Website: www.researchpublish.com Published Date: 22-March-2023 DOI: https://doi.org/10.5281/zenodo.7759680 Paper Download Link (Source) https://www.researchpublish.com/papers/device-fingerprinting-and-identification

International Journal of Computer Science and Information Technology Research, ISSN 2348-1196 (print), ISSN 2348-120X (online), Research Publish Journals, Website: www.researchpublish.com

Keywords

https://www.researchpublish.com/papers/device-fingerprinting-and-identification, browsers, personal data, cookies, Fingerprints, uniqueness, verification

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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