What question did this study set out to answer?

To develop a multi-criteria decision-making framework using hesitant fuzzy logic to systematically evaluate and rank lightweight authentication protocols for resource-constrained smart energy systems.

September 17, 2026SymmetryOpen Access

Hesitant Fuzzy-Based Computational Technique for Evaluating Lightweight Authentication Mechanisms

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Authors

HAHisham Alhulayyil

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Overview

Computational evaluation demonstrates a hybrid hesitant fuzzy framework for ranking lightweight authentication protocols in smart energy networks, indicating robust decision-making under uncertainty.

Key Points

To develop a multi-criteria decision-making framework using hesitant fuzzy logic to systematically evaluate and rank lightweight authentication protocols for resource-constrained smart energy systems.
Integrated Hesitant Fuzzy Analytic Network Process (HF-ANP) to assess interdependencies and determine relative weights for criteria including security strength, computation efficiency, communication effectiveness, and deployment scalability.
Applied Hesitant Fuzzy TOPSIS (HF-TOPSIS) to prioritize five lightweight authentication architectures: Hash-based, Elliptic Curve Cryptography (ECC)-based, Physical Unclonable Function (PUF)-based, Blockchain-assisted, and Certificate-less schemes.
Conducted sensitivity analysis and comparative analysis to test the consistency, symmetry, and robustness of the evaluation methodology.
The combined HF-ANP and HF-TOPSIS model effectively captured expert hesitation and resolved conflicting interrelationships among technical performance metrics.
Comparative and sensitivity analyses confirmed the stability, symmetry, and reliability of the ranking framework across varying evaluation conditions.

Cite This Study

Hisham Alhulayyil (2026) studied this question.

synapsesocial.com/papers/6aabb6e95f706d05830e5ab1 https://doi.org/10.3390/sym18091545

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September 17, 2026SymmetryOpen Access

Hesitant Fuzzy-Based Computational Technique for Evaluating Lightweight Authentication Mechanisms

View Full Paper

Ask AI

Bookmark

Authors

HAHisham Alhulayyil

Discussion

Member takes

Overview

Computational evaluation demonstrates a hybrid hesitant fuzzy framework for ranking lightweight authentication protocols in smart energy networks, indicating robust decision-making under uncertainty.

Key Points

To develop a multi-criteria decision-making framework using hesitant fuzzy logic to systematically evaluate and rank lightweight authentication protocols for resource-constrained smart energy systems.
Integrated Hesitant Fuzzy Analytic Network Process (HF-ANP) to assess interdependencies and determine relative weights for criteria including security strength, computation efficiency, communication effectiveness, and deployment scalability.
Applied Hesitant Fuzzy TOPSIS (HF-TOPSIS) to prioritize five lightweight authentication architectures: Hash-based, Elliptic Curve Cryptography (ECC)-based, Physical Unclonable Function (PUF)-based, Blockchain-assisted, and Certificate-less schemes.
Conducted sensitivity analysis and comparative analysis to test the consistency, symmetry, and robustness of the evaluation methodology.
The combined HF-ANP and HF-TOPSIS model effectively captured expert hesitation and resolved conflicting interrelationships among technical performance metrics.
Comparative and sensitivity analyses confirmed the stability, symmetry, and reliability of the ranking framework across varying evaluation conditions.

Cite This Study

Hisham Alhulayyil (2026) studied this question.

synapsesocial.com/papers/6aabb6e95f706d05830e5ab1 https://doi.org/10.3390/sym18091545

View Full Paper

Ask AI

Bookmark