A Fuzzy Hypergraph-Based Framework for Secure Encryption and Decryption of Sensitive Messages

The growing sophistication of cyber-attacks demands encryption processes that go beyond the confines of conventional cryptographic methods. Traditional cryptographic systems based on numerical algorithms or standard graph theory are still open to structural and computational attacks, particularly in light of advances in computation power. Fuzzy logic’s in-built ability to manage uncertainty together with the representation ability of fuzzy hypergraphs for describing complex interrelations offers an exciting avenue in the direction of developing highly evolved and secure cryptosystems. This paper lays out a new framework for cryptography using fuzzy hypergraph networks in which a hidden value is converted into a complex structure of dual fuzzy hypergraphs that remains completely connected. This technique not only increases the complexity of the encryption process, but also significantly enhances security, thus making it highly resistant to modern-day cryptographic attacks and appropriate for high security application. This approach improves security through enhanced entropy and the introduction of intricate multi-path data exchange through simulated nodes, rendering it highly resistant to contemporary cryptographic attacks. It ensures effective key distribution, accelerated encryption–decryption processes, and enhanced fault tolerance through dynamic path switching and redundancy. The adaptability of the framework to high-security, large-scale applications further enhances its robustness and performance.

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Publication Details

Journal
Mathematics
Published
2025-03-24
DOI
https://doi.org/10.3390/math13071049
Citations
3
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
2.42
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article

A Fuzzy Hypergraph-Based Framework for Secure Encryption and Decryption of Sensitive Messages

Antonios Kalampakas, Leo Mršić, O. Mythreyi, A. Meenakshi et al.
3 citations
Mathematics
DNA and Biological Computing
2.42
article

A Fuzzy Hypergraph-Based Framework for Secure Encryption and Decryption of Sensitive Messages

Antonios Kalampakas, Leo Mršić, O. Mythreyi, A. Meenakshi, Sovan Samanta
article en
3 citations

Abstract

The growing sophistication of cyber-attacks demands encryption processes that go beyond the confines of conventional cryptographic methods. Traditional cryptographic systems based on numerical algorithms or standard graph theory are still open to structural and computational attacks, particularly in light of advances in computation power. Fuzzy logic’s in-built ability to manage uncertainty together with the representation ability of fuzzy hypergraphs for describing complex interrelations offers an exciting avenue in the direction of developing highly evolved and secure cryptosystems. This paper lays out a new framework for cryptography using fuzzy hypergraph networks in which a hidden value is converted into a complex structure of dual fuzzy hypergraphs that remains completely connected. This technique not only increases the complexity of the encryption process, but also significantly enhances security, thus making it highly resistant to modern-day cryptographic attacks and appropriate for high security application. This approach improves security through enhanced entropy and the introduction of intricate multi-path data exchange through simulated nodes, rendering it highly resistant to contemporary cryptographic attacks. It ensures effective key distribution, accelerated encryption–decryption processes, and enhanced fault tolerance through dynamic path switching and redundancy. The adaptability of the framework to high-security, large-scale applications further enhances its robustness and performance.

MathematicsVol. 13(7)
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), American University of the Middle East (KW), Higher Education Centre Novo Mesto (SI), Algebra Bernays University (HR), Istinye University (TR)
Openalex Percentile: Top 12%
DNA and Biological Computing
2.42
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