Securing wireless sensor network from node capture attack using an efficient optimization defense strategy model

Gupta, Amara S A L G Gopala; Prasad, Gudapati Syam; Tumuluru, Praveen

doi:10.47974/JDMSC-1771

Open Access Research Article

Securing wireless sensor network from node capture attack using an efficient optimization defense strategy model

^*Amara S A L G Gopala GuptaCorresponding authoramara_gupta@yahoo.comDepartment of Computer Science and Engineering Koneru Lakshmaiah Education FoundationVaddeswaram, A. P., IndiaView full profile → , Gudapati Syam Prasadsyamprasad.gudapati@gmail.comDepartment of Computer Science and Engineering Sri Vasavi Institute of Engineering & Technology NandamuruDepartment of Computer Science and Engineering Koneru Lakshmaiah Education FoundationVaddeswaram, Andhra Pradesh, IndiaView full profile → , Praveen Tumulurupraveenluru@gmail.comDepartment of Computer science and Engineering Koneru Lakshmaiah Education FoundationVaddeswaram, A. P., IndiaView full profile →

* Corresponding author · click or hover a name for details

pp. 1457–1472Vol. 26Issue 5August 2023DOI: 10.47974/JDMSC-1771 Crossmark XML

Published Online:: 09 Sep 2023
Article type:: Research Article
Language:: EN
Article no.:: JDMSC-1771
Pages:: 1457–1472

Abstract

Wireless Sensor Networks (WSNs) are a promising evolving technology for recent real-world applications in collaborative settings. These applications ranging from household monitoring to crucial military applications transmit critical data and thus more challenging approaches are required for providing security. In WSNs, a node capture attack (NCA) is a more serious attack among various attacks which supports an impostor to perform different network (NW) operations, and thereby the security of the entire NW is compromised easily. For conquering the surpassing issues of sensitivity-related techniques and for enhancing the NCA’s AE, we establish the NCA technique amalgamating several objectives like speed and location to lessen comprehensive intricacy. For securing the NW out of the NCA, this study proffers Improved Flower Pollination Optimization Defense Strategy Algorithm (IFPODSA) intending to compute the multiple objective functions for effectual chief administration procedure employing Hankel matrix formation. This proffered IFPODSA is correlated with two prevailing methodologies like Fruit Fly Optimization Algorithm (FFOA) and Finding Robust Assailant Optimization-Particle Swarm Optimization and Genetic Algorithm (FRAOPSOGA) concerning diverse criteria. Consequently, it has been observed that the proffered IFPODSA attains 458.7 kbps of throughput, 81.56% of PDR, 18.2% of energy consumption, and 64.36% of overhead.

Keywords

Security Wireless sensor networks Optimization Key management Capture attack

Subject Classifications

68M2568M18

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