SFA-BCPF: Selective Forwarding Attacks in WSN With Bayesian Confidence-Based Packet Forwarding Algorithm

Authors

  • K. Soundarraj

Keywords:

BCPF, SFAs, Security, Trustworthy, Wireless Sensor Networks

Abstract

Wireless Sensor Networks (WSNs) play a pivotal role in various applications, ranging from environmental monitoring to military surveillance. However, their vulnerability to malicious attacks, particularly Selective Forwarding Attacks (SFAs), poses a significant challenge to the reliability and integrity of the transmitted data. SFAs involve compromised sensor nodes selectively dropping or delaying certain packets, leading to the degradation of network performance and undermining the overall efficiency of WSNs. This research proposes a novel approach to counteract SFAs by introducing a Bayesian Confidence-Based Packet Forwarding Algorithm (BCPF). The algorithm leverages Bayesian probability theory to dynamically assess the trustworthiness of each sensor node in the network. By considering factors such as historical behavior, communication patterns, and data integrity, the algorithm assigns a confidence level to each node. Nodes with higher confidence levels are prioritized for packet forwarding, while those with lower confidence levels are subjected to additional scrutiny or avoided altogether. The Bayesian Confidence-Based Packet Forwarding Algorithm aims to enhance the robustness of WSNs against SFAs by promoting the forwarding of packets through nodes with proven reliability. This research contributes to the ongoing efforts to fortify WSNs against emerging security threats, fostering their continued deployment in critical applications.

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Published

26.03.2024

How to Cite

Soundarraj, K. . (2024). SFA-BCPF: Selective Forwarding Attacks in WSN With Bayesian Confidence-Based Packet Forwarding Algorithm. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 1646–1654. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5640

Issue

Vol. 12 No. 21s (2024)

Section

Research Article

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