TARU PUBLICATIONS
Journal of Discrete Mathematical Sciences and Cryptography cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
submissions@tarupublications.com
Open Access Research Article

Designing AI-driven information security protocols using discrete mathematical models

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pp. 789–796Vol. 29Issue 2-BFebruary 2026DOI: 10.47974/JDMSC-2525 Crossmark XML
Received:
08 Apr 2025
Published Online:
18 Feb 2026
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-2525
Pages:
789–796

Abstract

This study uses advanced artificial intelligence (AI) methods and discrete mathematical models to show a new way to create information security measures. Using vector measure spaces, orthogonal sets, and vectorial convergence ideas, we build strong mathematical bases that make protocols safer and more reliable.  Our security procedures change to keep up with emerging threats owing to AI approaches like K-NN and Deep Q-Networks. A protocol lawet powered by AI detects and stops cyber threats immediately. The new approaches are more precise and lasting, according to experiments. Discrete mathematics and AI can handle current information system security concerns in a systematic and scalable method.

Keywords

Subject Classifications

31C2068M25

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