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April 6, 2026International Journal of Web Engineering and Technology

Optimized Feature Extraction and Classification Framework for IoT Botnet Detection

Ashok Kumar V Kanagachidambaresan G. R

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Key Points

The aim is to develop an optimized framework for feature extraction and classification to effectively detect IoT botnets.
Utilized advanced machine learning algorithms for classification.
Implemented a novel feature extraction process tailored for IoT data.
Evaluated the framework's performance against standard cybersecurity benchmarks.
Achieved a significant increase in detection rate compared to existing methods.
Reported reduced false positive rates, enhancing reliability.
Demonstrated improved computational efficiency during analysis.

Implication

This framework demonstrates improved botnet detection in IoT systems, highlighting enhanced cybersecurity measures.

Abstract

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Cite This Study

V et al. (2026) studied this question.

synapsesocial.com/papers/69d5f17974eaea4b11a7afb6 https://doi.org/10.1504/ijwet.2027.10077457

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