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Title:
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THE USAGE OF AI AND MACHINE LEARNING FOR IMPROVEMENT OF CYBERSECURITY STRATEGIES FOR QUALIFIED ELECTRONIC SEALS IN HIGHER EDUCATION |
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Author(s):
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Milen Gospodinov and Daniela Orozova |
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ISBN:
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978-989-8704-71-9 |
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Editors:
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Paula Miranda and Pedro Isaías |
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Year:
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2025 |
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Edition:
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Single |
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Keywords:
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Artificial Intelligence, Qseals, Machine Learning, Cybersecurity |
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Type:
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Short Paper |
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First Page:
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250 |
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Last Page:
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254 |
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Language:
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English |
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Cover:
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Full Contents:
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Paper Abstract:
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The article introduces the concept of electronic seals and their three types: simple, advanced, and qualified. It outlines the
infrastructure responsible for managing the issuance of private and public keys. While electronic seals facilitate the
activities of organizations, they also open opportunities for new types of fraud. The article discusses approaches for the
automated detection of anomalies in sealing behavior. An experiment was conducted to test the security of qualified
electronic seals (QSeals) by applying machine learning techniques for classification, including Neural Networks, Naïve
Bayes, Random Forest, and Logistic Regression. The experiment tests the probability of detecting abnormalities in the
sealing process and mitigating the risks of cybersecurity threats. |
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