AI-Driven Honeypot System for Proactive Detection: A Comprehensive Architectural and Empirical Analysis

Explore the article titled AI-Driven Honeypot System for Proactive Detection: A Comprehensive Architectural and Empirical Analysis from IJIRT Volume 12, Issue 8. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

Authors

Shivansh Pandey
Jayesh Shinde
Sahil Kerekar

Publication Details

Journal: International Journal of Innovative Research in Technology
Published: 2026-01-12
DOI: https://doi.org/10.64643/ijirtv12i8-190918-459
Primary Topic: Municipal Solid Waste Management
Type: article
Field-Weighted Citation Impact: 0.00

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article

AI-Driven Honeypot System for Proactive Detection: A Comprehensive Architectural and Empirical Analysis

Shivansh Pandey, Jayesh Shinde, Sahil Kerekar

Jan 12, 2026

International Journal of Innovative Research in Technology

Municipal Solid Waste Management

article

AI-Driven Honeypot System for Proactive Detection: A Comprehensive Architectural and Empirical Analysis

Shivansh Pandey, Jayesh Shinde, Sahil Kerekar

January 12, 2026article en

Abstract

International Journal of Innovative Research in TechnologyVol. 12(8)

Openalex Percentile: Top 91%

Municipal Solid Waste Management

DOI Open Access PDF OpenAlex

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AI-Driven Honeypot System for Proactive Detection: A Comprehensive Architectural and Empirical Analysis — Shivansh Pandey, Jayesh Shinde, et al. · International Journal of Innovative Research in Technology (2026) | TGRS Research Map | TGRS