Work

Analysis of user identification methods in web browsers

Year: 2025

Type: article

Abstract: Website visitor data helps to increase application security, control limited access, personalize content, collect data and improve the application. The article analyzes user identification methods in a browser: Browser Fingerprint, Supercookie, Keystroke Dynamics. The analysis of the methods was perfomed based on 4 criteria: False Acceptance Rate, applicability, avoidance resistance, Frontend Performance. For the research, literature, tests in different browsers, demo scripts in JavaScript, and the Performance API were used. It has been shown that the Supercookie is ineffective today, but Browser Fingerprint and Keystroke Dynamics can still be utilized for identification.

Source: Journal of Computer Sciences Institute

DOI: 10.35784/jcsi.6701

Authors: Eduard Chyzhik, Jakub Smołka

Institution: Lublin University of Technology

Language: English

Topic: User Authentication and Security Systems

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4408986348

FWCI:

Cites: 7

Cited by:

Related to: 10