UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 11 Issue 12
December-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2412775


Registration ID:
556484

Page Number

h629-h642

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Title

PILOT STUDY ON ASSESSING THE IMPACT OF AI-BASED CYBERSECURITY EDUCATION PROGRAMS FOR BUSINESSES AND INDIVIDUALS IN JAMSHEDPUR

Authors

Abstract

With the growing dependence on digital platforms, cybersecurity has become a major concern for both businesses and individuals. This study aims to assess the impact of AI-based cybersecurity education programs in Jamshedpur. The study evaluates the effectiveness of AI-driven educational tools in improving cybersecurity awareness, knowledge, and preparedness among businesses and individuals. Using surveys, interviews, and pre-and post-training assessments, this pilot study provides insights into how AI can be leveraged to enhance cybersecurity education. Cybersecurity threats are rapidly increasing, making education a crucial tool for enhancing digital security among businesses and individuals. This study examines the effectiveness of AI-based cybersecurity education programs in Jamshedpur, assessing their impact on knowledge improvement, behavioral changes, and engagement levels. A comparative analysis with traditional training methods highlights the advantages of AI-driven learning, including higher retention rates, personalized training, and real-time feedback. The study found that participants demonstrated a 40% increase in cybersecurity awareness post-training, with many adopting safer online practices, such as using stronger passwords and identifying phishing attempts more effectively. AI-based training also showed higher engagement levels due to its interactive and adaptive nature. However, challenges such as technological barriers, resistance to change, and limited internet access were identified as obstacles to widespread adoption. To enhance the effectiveness of AI-based cybersecurity education, this study recommends providing technical support, developing localized content, and introducing incentives for businesses to invest in cybersecurity training. By addressing these challenges, AI-driven education can significantly improve digital security awareness and preparedness in emerging cities like Jamshedpur. The findings underscore the potential of AI-based learning as a scalable and effective approach to cybersecurity education, paving the way for future research and implementation strategies.

Key Words

PILOT STUDY ON ASSESSING THE IMPACT OF AI-BASED CYBERSECURITY EDUCATION PROGRAMS FOR BUSINESSES AND INDIVIDUALS IN JAMSHEDPUR

Cite This Article

"PILOT STUDY ON ASSESSING THE IMPACT OF AI-BASED CYBERSECURITY EDUCATION PROGRAMS FOR BUSINESSES AND INDIVIDUALS IN JAMSHEDPUR", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.h629-h642, December-2024, Available :http://www.jetir.org/papers/JETIR2412775.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"PILOT STUDY ON ASSESSING THE IMPACT OF AI-BASED CYBERSECURITY EDUCATION PROGRAMS FOR BUSINESSES AND INDIVIDUALS IN JAMSHEDPUR", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. pph629-h642, December-2024, Available at : http://www.jetir.org/papers/JETIR2412775.pdf

Publication Details

Published Paper ID: JETIR2412775
Registration ID: 556484
Published In: Volume 11 | Issue 12 | Year December-2024
DOI (Digital Object Identifier):
Page No: h629-h642
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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