Optimized Feature Extraction and Classification Framework for IoT Botnet Detection

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Web Engineering and Technology
Published
2026-04-06
DOI
https://doi.org/10.1504/ijwet.2027.10077457
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimized Feature Extraction and Classification Framework for IoT Botnet Detection

Kanagachidambaresan G. R, Ashok Kumar V
International Journal of Web Engineering and Technology
Network Security and Intrusion Detection
article

Optimized Feature Extraction and Classification Framework for IoT Botnet Detection

Kanagachidambaresan G. R, Ashok Kumar V
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Web Engineering and TechnologyVol. 22(2)
Openalex Percentile: Top 4%
Network Security and Intrusion Detection
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