Secure Key Management and Mutual Authentication Protocol for Wireless Sensor Network using Hybrid Approach

Sharmila, .; Kumar, P. R.; Bhushan, S.; Kumar, Manoj; Alazab, Mamoun

doi:10.21203/rs.3.rs-328155/v1

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…In last decade, numerous challenging optimization problems have been solved using metaheuristics [12], [13], [14], [15]. Also, many new metaheuristics have been introduced [16,17].…”

Section: Introductionmentioning

confidence: 99%

A Discrete Hybrid Grey Wolf Optimizer Algorithm to solve QuadraticAssignment Problem

Panwar,

Rajwar,

Deep

et al. 2024

Preprint

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Grey Wolf Optimizer (GWO) is one of the popular swarm intelligence-based algorithms inspired bythe hunting behavior of wolves which is emerging as a robust candidate for addressing NP-hard problems.The Quadratic Assignment Problem (QAP) is a complex combinatorial optimization problem with signif-icant research interest due to its diverse real-world and industrial applications. This paper attempts tosolve QAP using GWO and proposes a novel discrete Hybrid Grey Wolf Optimizer (HGWO) that combinesGWO with Tabu Search (TS) to address the QAP. TS is used to enhance the exploitation by searching themost promising regions located by GWO. As QAP is a combinatorial optimization problem, the continu-ous values obtained from the classical GWO are converted to discrete values using the largest real valuemapping. In HGWO, the position of each individual is first updated by GWO and further improved byTS. The performance of HGWO is evaluated through computational experiments on 100 QAP benchmarkinstances, where it achieves optimal or near-optimal solutions for most cases. The numerical results arefurther compared with other well-known algorithms from the literature, such as Genetic Algorithm, BatAlgorithm, Whale Optimization Algorithm and others, where it has shown impressive performance andoutperformed most of the algorithms. Also, statistical tests such as the Friedman non-parametric test andthe Wilcoxon signed rank test are conducted for an unbiased and rigorous comparison. The analysis of thenumerical results obtained demonstrated that HGWO has merit in solving QAP, indicating directions forfuture research in combinatorial optimization strategies

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“…In last decade, numerous challenging optimization problems have been solved using metaheuristics [12], [13], [14], [15]. Also, many new metaheuristics have been introduced [16,17].…”

Section: Introductionmentioning

confidence: 99%

A Discrete Hybrid Grey Wolf Optimizer Algorithm to solve QuadraticAssignment Problem

Panwar,

Rajwar,

Deep

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…In addition, Sharmila et al [2] have proposed secure key management and authentication protocols that use hybrid approaches to establish critical connections, providing higher security. Through the collaboration of uncrewed aerial vehicles and Internet of Things devices [3], power system and energy measurement data can be transmitted to data centers and other locations, enabling remote real-time monitoring, fault diagnosis, and predictive analysis functionalities.…”

Section: Introductionmentioning

confidence: 99%

Optimization of SM4 Encryption Algorithm for Power Metering Data Transmission

Yi-Ming Zhang,

Jia Xu,

Yi-Tao Zhao

et al. 2023

Int. j. eng. technol. innov.

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This study focuses on enhancing the security of the SM4 encryption algorithm for power metering data transmission by employing hybrid algorithms to optimize its substitution box (S-box). A multi-objective fitness function is constructed to evaluate the S-box structure, aiming to identify design solutions that satisfy differential probability, linear probability, and non-linearity balance. To achieve global optimization and local search for the S-box, a hybrid algorithm model that combines genetic algorithm and simulated annealing is introduced. This approach yields significant improvements in optimization effects and increased non-linearity. Experimental results demonstrate that the optimized S-box significantly reduces differential probability and linear probability while increasing non-linearity to 112. Furthermore, a comparison of the ciphertext entropy demonstrates enhanced encryption security with the optimized S-box. This research provides an effective method for improving the performance of the SM4 encryption algorithm.

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An Efficient Key Establishment and Distribution Scheme for Wireless Body Area Networks

Taofeek,

Victor,

Olalere

et al. 2024

2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG)

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Secure Key Management and Mutual Authentication Protocol for Wireless Sensor Network using Hybrid Approach

Cited by 3 publications

References 20 publications

A Discrete Hybrid Grey Wolf Optimizer Algorithm to solve QuadraticAssignment Problem

A Discrete Hybrid Grey Wolf Optimizer Algorithm to solve QuadraticAssignment Problem

Optimization of SM4 Encryption Algorithm for Power Metering Data Transmission

An Efficient Key Establishment and Distribution Scheme for Wireless Body Area Networks

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