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I. Parashchuk

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Conference Sep 2026

Detecting Cybersecurity Risks Using Fuzzy Features and Incomplete Signatures of Computer Attacks Against Smart City Artificial Intelligence

This paper integrates neural networks with fuzzy set theory - specifically fuzzy relation intersections - to address a two-phase cybersecurity risk detection problem characterized by ambiguous features and incomplete attack signature databases in Smart City artificial intelligence. This approach progressively eliminate...

I. Kotenko, I. Parashchuk · 0 citations

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