CYBERMIND: AI-Enabled Zero Trust Intrusion Detection for Industrial IoT Networks

Explore the article titled CYBERMIND: AI-Enabled Zero Trust Intrusion Detection for Industrial IoT Networks from IJIRT Volume 12, Issue 9. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

Authors

Publication Details

Journal
International Journal of Innovative Research in Technology
Published
2026-02-23
DOI
https://doi.org/10.64643/ijirtv12i9-192295-459
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CYBERMIND: AI-Enabled Zero Trust Intrusion Detection for Industrial IoT Networks

Keerthika N A
International Journal of Innovative Research in Technology
Network Security and Intrusion Detection
article

CYBERMIND: AI-Enabled Zero Trust Intrusion Detection for Industrial IoT Networks

Keerthika N A
article en

Abstract

Explore the article titled CYBERMIND: AI-Enabled Zero Trust Intrusion Detection for Industrial IoT Networks from IJIRT Volume 12, Issue 9. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

International Journal of Innovative Research in TechnologyVol. 12(9)
Openalex Percentile: Top 55%
Network Security and Intrusion Detection
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.