Efficient key revocation in WSN with lattice-based cryptography

Khan, Ihtiram Raza; Gupta, Neha; Hundekari, Sheela; Bansal, Ashish; Mahajan, Rupali Atul

doi:10.47974/JDMSC-1887

Open Access Research Article

Efficient key revocation in WSN with lattice-based cryptography

Ihtiram Raza Khanerkhan2007@gmail.comDepartment of Computer ScienceJamia Hamdard DelhiDelhi, IndiaView full profile → , Neha Guptaneha.gupta@suas.ac.inDepartment of Computer Science and Information TechnologySymbiosis University of Applied SciencesIndore, Madhya Pradesh, IndiaView full profile → , Sheela Hundekarisheelahundekari90@gmail.comDepartment of Computer ApplicationsMIT ADT UniversityPune, Maharashtra, IndiaView full profile → , Ashish Bansalashssi@rediffmail.comDepartment of Computer Science & EngineeringAvantika University UjjainUjjain, Madhya Pradesh, IndiaView full profile → , ^*Rupali Atul MahajanCorresponding authorrupali.mahajan@viit.ac.inDepartment of CSE (Data Science Department)Vishwakarma Institute of Information TechnologyPune, Maharashtra, IndiaView full profile →

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pp. 339–348Vol. 27Issue 2-AMarch 2024DOI: 10.47974/JDMSC-1887 Crossmark XML

Published Online:: 06 Apr 2024
Article type:: Research Article
Language:: EN
Article no.:: JDMSC-1887
Pages:: 339–348

Abstract

Strong security is crucial as Wireless Sensor Network (WSN) become more common. Dynamic Lattice-Based Key Revocation (DLBKR) is a novel method for improving key revocation in WSN. Lattice-based cryptography helps DLBKR overcome compromised keys and evolving security threats in dynamic sensor networks. Key revocation mechanisms are examined in detail, with a focus on their limitations in WSN. Due to these networks limited resources and ever-changing structure, we propose DLBKR as a novel way to minimize the security risks of compromised keys. DLBKR is featured as a flexible and reactive solution due to its ability to adapt to threat levels. Simulated network sizes from 250 to 2000 nodes were used to evaluate DLBKR. Traditional methods like CRL and OCSP were compared. Latency, revocation efficiency, computational overhead, communication overhead, and key replacement delay were assessed. DLBKR outperforms CRL and OCSP in all parameters, proving its efficiency in dynamic and resource-limited WSN key revocation. This method performs well and offers a flexible framework that incorporates with sensor networks. The DLBKR method help WSN to manage key complexity.

Keywords

Lattice-based cryptography WSN Key revocation Dynamic security Efficient key management

Subject Classifications

Primary 93A30Secondary 49K15

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