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Title:Adaptive security models : leveraging RSA and intuitionistic fuzzy logic for robust cryptography
Authors:ID Meenakshi, Annamalai (Author)
ID John, J. (Author)
ID Mršić, Leo (Author)
ID Kalampakas, Antonios (Author)
ID Samanta, Sovan (Author)
ID Allahviranloo, Tofigh (Author)
Files:URL URL - Source URL, visit https://www.sciencedirect.com/science/article/pii/S2090447926001346?via%3Dihub
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo RUDOLFOVO - Rudolfovo - Science and Technology Centre Novo Mesto
Abstract:In modern communication systems, the processes of encryption and decryption require solid mechanisms that can handle uncertainty, incompleteness, and imprecision of real-world data. The Intuitionistic fuzzy graphs ( s) are certainly a potent mathematical construct to describe these uncertainties and it is quite appropriate that they are applied in the more sophisticated cryptography. The purpose of this work is to suggest a best Intuitionistic Fuzzy Graph Network ( ) based on the idea of an efficient domination and consequently use it to carry out the process of secure encryption and decryption of confidential messages. It has been suggested that a multi-layer system of encryption is organized and secure that involves the representation of a hidden message, RSA cryptographic methods, normalization in integer data, and effective domination in s. Efficient dominating sets have been used to reduce redundancy and maximize the network performance without loss of cryptographic strength. The resulting will increase the security since it makes the structure more complex and offer some resistance to cryptanalysis. The primary emphasized point of work is associated with the enhanced degree of confidentiality, the optimal use of resources, and adaptable management of the uncertainty. The importance of this study is that it combines graph-theoretic fuzzy concepts with classical cryptography, and therefore, it proposes a scalable and adaptive encryption mechanism. The proposed framework would be especially useful in the secure transmission of data over cloud computing, IoT, and defense communication.
Keywords:RSA cryptography, intuitionistic fuzzy line graphs, robust cryptography, encryption and decryption, adaptive security models
Publication version:Version of Record
Publication date:01.01.2026
Year of publishing:2026
Number of pages:str. 1-11
Numbering:Vol. 17, iss. 5, art. 104107
PID:20.500.12556/DiRROS-29557 New window
UDC:519.17:510.6:004.056.55
ISSN on article:2090-4495
DOI:10.1016/j.asej.2026.104107 New window
COBISS.SI-ID:273447683 New window
Note:Nasl. z nasl. zaslona; Opis vira z dne 29. 3. 2026; Soavtorji: J. John, Leo Mršić, Antonios Kalampakas, Sovan Samanta, Tofigh Allahviranloo;
Publication date in DiRROS:27.05.2026
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Downloads:42
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Record is a part of a journal

Title:Ain Shams Engineering Journal
Shortened title:Ain Shams Eng. J.
Publisher:Ain Shams University, Faculty of Engineering, Elsevier
ISSN:2090-4495
COBISS.SI-ID:68370435 New window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

Language:Slovenian
Keywords:kriptografija, intuicionistična mehka logika, adaptivni varnostni modeli, robustna kriptografija, šifriranje in dešifriranje


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