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Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2004 / Cilt: 4 - Sayı: 1

User identification at logon via keystroke dynamics

İbrahim SOĞUKPINAR
Levent YALÇIN
Pages
995–1005
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Also this system makes difficult to system logon even if the password is known by the hypothesis of distinguishing users according to their typing rhythms is possible.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Main goal of information system security is to protect the information by preventing unauthorized users to log on system and provide to log on system only authorized users.
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Key Findings & Data:For this goal, it is necessary to distinguish the authorized and unauthorized users.
💡
Conclusion & Impact:Also this system makes difficult to system logon even if the password is known by the hypothesis of distinguishing users according to their typing rhythms is possible.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Main goal of information system security is to protect the information by preventing unauthorized users to log on system and provide to log on system only authorized users. For this goal, it is necessary to distinguish the authorized and unauthorized users. In this study, a security method, which doesn't require an extra hardware, was designed according to this goal. Also this system makes difficult to system logon even if the password is known by the hypothesis of distinguishing users according to their typing rhythms is possible.

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Cite This Article

SOĞUKPINAR, İ., YALÇIN, L. (2022). User identification at logon via keystroke dynamics. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 4 - Sayı: 1, 995–1005. https://ajindex.com/articles/543884

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References (13)

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