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On keystroke pattern variability in virtual desktop infrastructure
King’s College, London, GBR.
University of Plymouth, GBR.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0003-0183-3613
2021 (English)In: CEUR Workshop Proceedings / [ed] Subbotin S., CEUR-WS , 2021, Vol. 2864, p. 238-248Conference paper, Published paper (Refereed)
Abstract [en]

The paper investigates the impact of network traffic and network characteristics on the effectiveness of keystroke dynamics for continuous and one-time authentication in the remote desktop applications and virtual desktop infrastructure. The context presented in the paper contributes to the area of biometric authentication systems by identifying virtual desktop environment as a specific application domain that uses a keystroke pattern for user verification and identifying at what extent the context influences on permanence and the immunity of the keystroke data which was never studied before. The results showed that the keystroke pattern is not affected by network latency, but standard deviation, jitter, and packet loss have a significant combined impact onto it. It can also be concluded that RDP packets are not prioritized during transmission over the network, and therefore, we can say that any other competing traffic is likely to render keystroke dynamics unusable for continuous authentication during remote access. © 2021 Copyright for this paper by its authors.

Place, publisher, year, edition, pages
CEUR-WS , 2021. Vol. 2864, p. 238-248
Series
CEUR Workshop Proceedings, ISSN 16130073
Keywords [en]
Biometric pattern, Continuous authentication, Euclidean distance, Keystroke dynamics, RDP, Remote display protocol, Authentication, Intelligent systems, User interfaces, Biometric authentication system, Continuous authentications, Desktop applications, Keystroke patterns, Network characteristics, Network latencies, Standard deviation, Packet networks
National Category
Computer Sciences Telecommunications
Identifiers
URN: urn:nbn:se:bth-21496Scopus ID: 2-s2.0-85106194539OAI: oai:DiVA.org:bth-21496DiVA, id: diva2:1560579
Conference
4th International Workshop on Computer Modeling and Intelligent Systems, CMIS 2021, 27 April 2021
Note

open access

Available from: 2021-06-04 Created: 2021-06-04 Last updated: 2021-06-07Bibliographically approved

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fulltext(557 kB)139 downloads
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Silonosov, Alexandr

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CiteExportLink to record
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