University of Twente Student Theses
Optimal Passwordless Continuous Authentication Measures for Remote Employees
Narkar, Manya (2024) Optimal Passwordless Continuous Authentication Measures for Remote Employees.
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| Abstract: | Considering the increased reliance on remote employment systems, the need to prioritise safety and foster a productive environment is imperative. The choice of authentication measure plays a crucial role in maintaining this balance. However, current research in the field lacks an exploration of the trade-offs between intrusive and non-intrusive authentication measures. Additionally, most research at the moment consists of comparing authentication measures within similar categories (such as touchscreen and motion-based authentication with other touchscreen and motion-based authentication), or across dissimilar categories (such as accelerometer-based gait authentication with device profiling authentication). The latter consists of not only varying performance metrics (such as Equal Error Rate (EER) and False Rejection Rate (FRR)), but also varying usability testing sample sizes and integrated development environments, among others. This results in challenges in conducting a fair and unbiased comparison of the systems. Our study addresses these notable gaps by assessing the trade-offs between intrusive and non-intrusive authentication measures within a homogenised environment to produce unbiased results. Through an extensive review of existing literature, we first identify existing authentication measures that are better suited for remote employees. Then, a web-app that implements each of these measures is developed, by minimising discrepancies across each system, so that they can be evaluated through testing. Finally, the results are analysed to conclude which type of system is a better fit for continuous authentication for remote employees. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 50 technical science in general, 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/98196 |
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