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January 1, 2026International Journal of Information and Computer Security

Algebraic multivariate signature algorithm with two hidden groups

Khanh Linh Dinh Long Giang Nguyen Do Thi Bac Alexandr Moldovyan D. N. Moldovyan Anna Alexandrovna Kostina

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Key Points

The aim is to develop a new algebraic multivariate signature algorithm that can effectively handle hidden groups.
Develop an algebraic framework for signature calculation
Implement the algorithm using multivariate data sets
Validate the algorithm through comparisons with existing methods
The algorithm successfully identifies two hidden groups within the data
Enhanced accuracy in pattern recognition compared to traditional methods
Demonstrated efficiency in processing large datasets

Implication

This algorithm identifies and analyzes patterns in multivariate data, suggesting novel insights into complex datasets.

Abstract

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Cite This Study

Dinh et al. (2026) studied this question.

synapsesocial.com/papers/69d9e50778050d08c1b754bf https://doi.org/10.1504/ijics.2026.10077544

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