Machine Learning Driven Advanced Défense Mechanisms Against Blackhole and Flooding Attacks in Wireless Sensor Networks

Authors

  • Dr. Ayesha Banu, S. Nikitha, K. Vinitha, E. Laxmi, Ayesha Tarannum Author

DOI:

https://doi.org/10.48047/z00b5b26

Keywords:

Keywords: Blackhole Attack, Network Security, Wireless Sensor Networks (WSNs), Adversarial Attacks

Abstract

Wireless Sensor Networks (WSNs) correspond of spatially distributed independent detectors that cover physical or environmental conditions, similar as temperature, sound, and pressure. These networks transmit their data to a central position for processing and analysis. The conception of WSNs surfaced in the early 2000s, driven by advancements in wireless communication and miniaturization

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Published

18.04.2025

How to Cite

Machine Learning Driven Advanced Défense Mechanisms Against Blackhole and Flooding Attacks in Wireless Sensor Networks. (2025). International Journal of Information and Electronics Engineering, 15(4), 206-215. https://doi.org/10.48047/z00b5b26