Applied discrete mathematics in developing efficient cryptographic algorithms for enhancing information security in WSN

When it comes to Wireless Sensor Systems (WSNs), solid data security is exceptionally vital since sensor hubs can be assaulted in numerous ways. This exposition looks at how discrete arithmetic can be utilized to make compelling cryptographic methods that can be utilized to form WSNs more secure. We see into how thoughts from number hypothesis, combinatorics, and logarithmic structures can be utilized to make cryptographic strategies that work with the uncommon issues that WSNs have, like not having sufficient vitality or computing control, and issues with being able to develop. We propose modern encryption and key administration strategies that utilize discrete scientific strategies to improve the protection, security, and legitimacy of information sent inside WSNs whereas moreover making the leading utilize of computing control and assets. Execution measures like speed of encryption and decoding, energy use, and resistance to common assault courses are utilized to judge the recommended strategies. Our comes about appear that discrete arithmetic could be a solid establishment for making cryptographic strategies that progress information security whereas considering the impediments of WSNs. As a result of this consider, secure communication strategies in WSNs are getting way better. This makes a difference illuminate one of the greatest issues in organize security.

Authors

Publication Details

Journal
Journal of Discrete Mathematical Sciences and Cryptography
Published
2025-01-01
DOI
https://doi.org/10.47974/jdmsc-2173
Primary Topic
Cybersecurity and Information Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Applied discrete mathematics in developing efficient cryptographic algorithms for enhancing information security in WSN

Nilesh Shelke, Ravindra Keshav Moje, Yatin Gandhi, Vaishali Deshmukh et al.
Journal of Discrete Mathematical Sciences and Cryptography
Cybersecurity and Information Systems
article

Applied discrete mathematics in developing efficient cryptographic algorithms for enhancing information security in WSN

Nilesh Shelke, Ravindra Keshav Moje, Yatin Gandhi, Vaishali Deshmukh, Sanjivani Hemant Kulkarni, Santosh H. Lavate
article en

Abstract

When it comes to Wireless Sensor Systems (WSNs), solid data security is exceptionally vital since sensor hubs can be assaulted in numerous ways. This exposition looks at how discrete arithmetic can be utilized to make compelling cryptographic methods that can be utilized to form WSNs more secure. We see into how thoughts from number hypothesis, combinatorics, and logarithmic structures can be utilized to make cryptographic strategies that work with the uncommon issues that WSNs have, like not having sufficient vitality or computing control, and issues with being able to develop. We propose modern encryption and key administration strategies that utilize discrete scientific strategies to improve the protection, security, and legitimacy of information sent inside WSNs whereas moreover making the leading utilize of computing control and assets. Execution measures like speed of encryption and decoding, energy use, and resistance to common assault courses are utilized to judge the recommended strategies. Our comes about appear that discrete arithmetic could be a solid establishment for making cryptographic strategies that progress information security whereas considering the impediments of WSNs. As a result of this consider, secure communication strategies in WSNs are getting way better. This makes a difference illuminate one of the greatest issues in organize security.

Journal of Discrete Mathematical Sciences and CryptographyVol. 28(5-A)
Openalex Percentile: Top 73%
Cybersecurity and Information Systems
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Applied discrete mathematics in developing efficient cryptographic algorithms for enhancing information security in WSN — Nilesh Shelke, Ravindra Keshav Moje, et al. · Journal of Discrete Mathematical Sciences and Cryptography (2025) | TGRS Research Map | TGRS