Enhanced Keystroke Dynamics Authentication Using Keystroke Vector Dissimilarity

Bussabong, Naphat; Anusas-amornkul, Tanapat

doi:10.1109/icitee59582.2023.10317643

2023 15th International Conference on Information Technology and Electrical Engineering (ICITEE) 2023

DOI: 10.1109/icitee59582.2023.10317643

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Enhanced Keystroke Dynamics Authentication Using Keystroke Vector Dissimilarity

Naphat Bussabong,

Tanapat Anusas-amornkul

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2024

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Normalization Technique and Weight Adjustment Analysis for Keystroke Vector Dissimilarity Authentication

Anusas-Amornkul,

Bussabong

2024

Wseas Transactions on Systems

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A keystroke dynamics authentication uses keystroke rhythm for each user on a keyboard to verify a real user. The idea is that each user has a unique keystroke rhythm such that it can be determined the identity of a user. To verify a user, a keystroke vector dissimilarity technique was proposed to use keystroke features as a vector and calculate a weight using SoftMax+1 to overcome the Euclidean distance problem. However, the weight has yet to be analyzed in detail. Therefore, this paper aims to find a normalization technique and a weight adjustment to enhance the accuracy of the keystroke vector dissimilarity technique. The normalization techniques and activation functions analyzed in this study are Euclidean norm, Mean normalization, Min-max normalization, Z-score normalization, SoftMax function, and ReLU function. The weight adjustment varies from w+1000 to 1000-w. The results show that the Mean and Min-max normalizations with 10-w as a weight gave the same results at 96.97% accuracy and 3.03% error, which are better than the previous work.

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Normalization Technique and Weight Adjustment Analysis for Keystroke Vector Dissimilarity Authentication

Anusas-Amornkul,

Bussabong

2024

Wseas Transactions on Systems

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show abstract

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Enhanced Keystroke Dynamics Authentication Using Keystroke Vector Dissimilarity

Cited by 1 publication

References 12 publications

Normalization Technique and Weight Adjustment Analysis for Keystroke Vector Dissimilarity Authentication

Normalization Technique and Weight Adjustment Analysis for Keystroke Vector Dissimilarity Authentication

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