Ghulam Mustafa, Shah Zaman Nizamani, Irfana Memon, Asif Ali Wagan, Solomiia Fedushko, Abdullah Al Hejaili
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引用次数: 0
Abstract
Despite major advancements in the sphere of the public-key authentication specifically in the instances of the newly established standards like WebAuthn and the FIDO2, the practical implementation of the passwordless login systems is still hindered by the usability factors, platform-related requirements, and the very nature of the deployment process is predetermined by its complex character. We formulate in this contribution a practical, push-based authentication model, which takes active advantage of the utilization of the public-key cryptography, combined with the traditional set of capabilities in mobile devices, to provide a secure and consumer-friendly way of logging into a system. The architecture has been implemented using the Laravel web application framework, the Flutter cross-platform mobile development system, and Firebase Cloud Messaging (FCM), thus enabling authentication using smartphone-initiated approvals and digital signatures. A within-subject usability experiment with 160 participants was the measure of effectiveness of the proposed approach. The participants were requested to fulfill the tasks of logins with the postulated push-based mechanism and an experimental password-based one. System logs provided objective metrics such as the latency to log in, rate of errors, and the success rate of the first attempt. At the same time, the subjective ratings were gathered through the means of structured questionnaires where the ease of use, speed, security, and preferences were measured. Empirical data revealed that despite the insignificant increase in time of login, the passwordless system reported a significant decrease in error, increase in success rate, and a significant preference among the subjects in all the dimensions of usability that were being tested. Each of the observed differences was statistically significant and with large effect sizes. This research provides a deplorable, platform adaptable authentication paradigm that preempts realistic coping, yet holds core security standards. Emphasizing the need to balance system design with human-centered assessment the work suggests a possible solution to more complex or more hardware-resources limited passwordless usage.
IET BiometricsCOMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
5.90
自引率
0.00%
发文量
46
审稿时长
33 weeks
期刊介绍:
The field of biometric recognition - automated recognition of individuals based on their behavioural and biological characteristics - has now reached a level of maturity where viable practical applications are both possible and increasingly available. The biometrics field is characterised especially by its interdisciplinarity since, while focused primarily around a strong technological base, effective system design and implementation often requires a broad range of skills encompassing, for example, human factors, data security and database technologies, psychological and physiological awareness, and so on. Also, the technology focus itself embraces diversity, since the engineering of effective biometric systems requires integration of image analysis, pattern recognition, sensor technology, database engineering, security design and many other strands of understanding.
The scope of the journal is intentionally relatively wide. While focusing on core technological issues, it is recognised that these may be inherently diverse and in many cases may cross traditional disciplinary boundaries. The scope of the journal will therefore include any topics where it can be shown that a paper can increase our understanding of biometric systems, signal future developments and applications for biometrics, or promote greater practical uptake for relevant technologies:
Development and enhancement of individual biometric modalities including the established and traditional modalities (e.g. face, fingerprint, iris, signature and handwriting recognition) and also newer or emerging modalities (gait, ear-shape, neurological patterns, etc.)
Multibiometrics, theoretical and practical issues, implementation of practical systems, multiclassifier and multimodal approaches
Soft biometrics and information fusion for identification, verification and trait prediction
Human factors and the human-computer interface issues for biometric systems, exception handling strategies
Template construction and template management, ageing factors and their impact on biometric systems
Usability and user-oriented design, psychological and physiological principles and system integration
Sensors and sensor technologies for biometric processing
Database technologies to support biometric systems
Implementation of biometric systems, security engineering implications, smartcard and associated technologies in implementation, implementation platforms, system design and performance evaluation
Trust and privacy issues, security of biometric systems and supporting technological solutions, biometric template protection
Biometric cryptosystems, security and biometrics-linked encryption
Links with forensic processing and cross-disciplinary commonalities
Core underpinning technologies (e.g. image analysis, pattern recognition, computer vision, signal processing, etc.), where the specific relevance to biometric processing can be demonstrated
Applications and application-led considerations
Position papers on technology or on the industrial context of biometric system development
Adoption and promotion of standards in biometrics, improving technology acceptance, deployment and interoperability, avoiding cross-cultural and cross-sector restrictions
Relevant ethical and social issues