A Comparative Study on Key Generation in Wireless Sensor Networks

Ahmet Oztoprak*, Reza Hassanpour, Ayse Gul Ozkan, Kasim Oztoprak

*Corresponding author voor dit werk

OnderzoeksoutputAcademicpeer review

1 Citaat (Scopus)

Samenvatting

Key management is a critical aspect of securing Wireless Sensor Networks (WSNs), ensuring confidentiality, integrity, and authentication of the communicated data. This paper presents a comprehensive study on key management techniques in WSNs, focusing on both static and dynamic methods. Static key management involves pre-distributing keys to sensor nodes before deployment, offering simplicity and reduced communication overhead but facing challenges in scalability and resilience against node capture attacks. Dynamic key management, on the other hand, entails periodic updates and re-establishment of keys, enhancing security through adaptability and resilience but at the cost of increased communication and computational overhead. We compare and contrast various static methods, such as random key pre-distribution and pairwise key establishment, with dynamic methods like re-keying protocols and key refreshment techniques. Our analysis highlights the strengths and weaknesses of each approach in terms of security, efficiency, and practicality for different WSN applications. By providing a detailed exploration of key management schemes, this paper aims to guide the design and implementation of secure and efficient key management protocols tailored to the unique constraints and requirements of WSNs.

Originele taal-2English
TitelProceedings - 2024 IEEE International Conference on Big Data, BigData 2024
RedacteurenWei Ding, Chang-Tien Lu, Fusheng Wang, Liping Di, Kesheng Wu, Jun Huan, Raghu Nambiar, Jundong Li, Filip Ilievski, Ricardo Baeza-Yates, Xiaohua Hu
UitgeverijIEEE
Pagina's7116-7121
Aantal pagina's6
ISBN van elektronische versie9798350362480
DOI's
StatusPublished - 16-jan.-2025
Evenement2024 IEEE International Conference on Big Data, BigData 2024 - Washington, United States
Duur: 15-dec.-202418-dec.-2024

Conference

Conference2024 IEEE International Conference on Big Data, BigData 2024
Land/RegioUnited States
StadWashington
Periode15/12/202418/12/2024

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