Modelling Perceptions of Netizens towards New Age AI Based Crimes Using Non-Parametric Correlation and Regression Metrics

DOI

10.2991/978-94-6239-610-4_15How to use a DOI?

Keywords

artificial intelligence; new age cybercrimes; awareness; cybersecurity practices; confidence

Abstract

The recent rise of artificial intelligence has enabled new age cybercrimes, which include different AI-based crimes like automated phishing, deep fakes, voice swapping, and others. So, it is very important to understand how netizens recognize and respond to these crimes in recent time. In this cross-sectional study a survey was conducted by using a structured, literature-based questionnaire consisting 5 sections, circulated among netizens by means of google forms. A total of 204 responses has been collected from netizens. Perception scores were calculated by summing awareness, cyber security practice, and confidence scores. Data were coded and statistically analyzed by using Microsoft Excel, 2019. Descriptive statistical analysis, t-tests, Pearson and Spearman correlation, and simple linear regression models have been utilized for the statistical analysis process in Microsoft Excel, 2019. Result has shown no significant gender-based differences, and demographic factors have shown extremely weak and statistically non-significant relationships with perception score, including age, education level, professional hierarchy, and place of residence. But, daily duration of online activities has been highlighted as the only significant predictor, by explaining 3.50% of variance within perception scores (R² = 0.035; p = 0.007). This key finding has indicated that netizens spending more time online possess higher awareness, which helps in better cybersecurity practice, and show greater confidence in identifying AI-generated scams. Additionally, combined awareness and cyber security practice scores have significantly predicted confidence level in identifying these advanced cybercrimes, accounting for 4.34% of variance (R² = 0.0434; p = 0.003). It can be concluded from the study that, behavioral digital engagement- rather than demographic background- plays most significant role in shaping preparedness against advanced AI driven and dark-web based cybercrimes.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Pooja Jethi
AU  - Satya Sri Kusi
AU  - Disha Debnath
PY  - 2026
DA  - 2026/05/05
TI  - Modelling Perceptions of Netizens towards New Age AI Based Crimes Using Non-Parametric Correlation and Regression Metrics
BT  - Proceedings of the First International Conference on Advances in Forensics and Cyber Technologies (ICFACT 2025)
PB  - Atlantis Press
SP  - 134
EP  - 147
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-610-4_15
DO  - 10.2991/978-94-6239-610-4_15
ID  - Jethi2026
ER  -