Secure Fuzzy Information Networks with Applications to Social Media Platforms

Résumé

In this paper, we introduce the concept of a fuzzy information network, where nodes retain a portion of their information internally to ensure self-protection against potential threats. To quantify the degree of security, we propose a fuzzy information number(FIN), calculated from the retained information within the network. Based on the threshold values of this information number, we define secure fuzzy information networks, along with the families of alpha-secure and beta-secure fuzzy information networks. To demonstrate the effectiveness of the proposed framework, we present an application of secure fuzzy information networks in the context of social media platforms.

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Biographie de l'auteur

Sivasankar Shanmugam, RV Institute of Technology and Management, Bangalore

I am presently working at RV Institute of Technology and Management, Bangalore, India as Assistant Professor (SG) in Mathematics.  My job involves teaching Engineering Mathematics to undergraduates (B Tech.), handling research projects, guiding & counseling and supporting UG and PG student’s research activities. My current research field is Fuzzy Networks. I have done theoretical developments of fuzzy graphs and intuitionistic fuzzy graphs and I have developed clustering algorithm for fuzzy and intuitionistic fuzzy graphs. 25 Research articles published in International Journals and Conferences including Scopus, SCI indexed.

Publiée
2026-02-04
Rubrique
International Conf. on Recent Trends in Appl. and Comput. Mathematics - ICRTACM