Cyber fraud against women in digital India : a multidimensional study of risk, awareness and financial vulnerability
Author(s): 1. Pradip Kalsariya, 2. Nimisha Shukla
Authors Affiliations:
- PhD scholar, Department of Rural Economics, Gujarat Vidyapith, Ahmedabad, India
- Head and Professor, Department of Rural Economics, Gujarat Vidyapith, Ahmedabad, India
With digitalization and the increasing use of online financial services, incidents of cyber fraud have increased significantly in India. It is often believed that due to limited digital literacy, lack of cyber awareness, over-trusting nature, and limited technical skills; probability of Cyber fraud among women would be high. Hence, this study aims to test this belief and to analyse demographic, economic, digital usage, and security-related factors that affect vulnerability among women for fraud. The study is based on total of 56 women victims from Ahmedabad and Surat cities selected through purposive sampling method, from 2020 to 2022. Data were collected through direct interviews and questionnaires and analysed using descriptive statistics and Spearman’s Rho correlation . According to the study, the age group of 36 to 55 was found to be the most vulnerable, while the incidence of fraud was also significant among highly educated women. Women working in private jobs, students, and housewives were found to be at higher risk. Both income and liquid assets were positively correlated with the amount of fraud. Online shopping, credit/debit card, and task-based frauds were the most commonly reported. Most women in the study used Unified Payments Interface (UPI), while awareness about One-Time Password (OTP)s and strong passwords was found to be good. However, the ability to identify fraudulent links and awareness of the cyber helpline 1930 were limited. The study shows that vulnerability to cyber fraud among women is result of combined influence of social, economic, and digital factors. Therefore, it becomes necessary to develop digital literacy, cyber awareness, and safe online behaviour among women.
Pradip Kalsariya, Nimisha Shukla, (2026); Cyber fraud against women in digital India : a multidimensional study of risk, awareness and financial vulnerability,
- Balakrishnan, V., Ahhmed, U., & Basheer, F. (2025). Personal, environmental and behavioral predictors associated with online fraud victimization among adults. PLOS ONE, 20(1), e0317232, 1–17. Retrieved April 28, 2026, From https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0317232
- Carter, W., (2025). The Economic Impact of Online Fraud: A Review. Preprints.org. Retrieved April 15, 2026, from https://doi.org/10.20944/preprints202507.0436.v1
- Chen, S., Gao, C., Jiang, D., Hao, M., Ding, F., Ma, T., Zhang, S., & Li, S. (2021). The spatiotemporal pattern and driving factors of cyber fraud crime in China. ISPRS International Journal of Geo-Information, 10(12), 802. Retrieved April 27, 2026, from https://doi.org/10.3390/ijgi10120802.
- Isaia, E., Oggero, N., & Sandretto, D. (2024). Is financial literacy a protection tool from online fraud in the digital era? Journal of Behavioral and Experimental Finance, 44, 100977. Retrieved April 18, 2026, from https://doi.org/10.1016/j.jbef.2024.100977
- Kasturi, Y., & Dar, M. A. (2024). Cybercrime in the digital age: Challenges and legal gaps in India’s cybersecurity landscape. African Journal of Biomedical Research, 27(6s), 212–224. Retrieved April 22, 2026, from https://doi.org/10.53555/AJBR.v27i6S.5724.
- Kumar, S., & Patel, M. (2025). Digital habits and cyber vulnerabilities among older victims of cyber fraud. Working with Older People, 29(4), 433–443. Retrieved April 22, 2026, from https://doi.org/10.1108/WWOP-04-2025-0018
- Macaulay, P. J. R., Steer, O. L., & Betts, L. R. (2020). Factors leading to cyber victimization. In Emerging cyber threats and cognitive vulnerabilities (pp. 1-25). Academic Press. Retrieved April 27, 2026, from https://doi.org/10.1016/B978-0-12-816203-3.00001-0
- National Crime Records Bureau, 2019 (Volume 2; pp. 751–842). (2019). Ministry of Home Affairs, Delhi. Retrieved on February 02, 2025, From https://www.ncrb.gov.in/uploads/nationalcrimerecordsbureau/custom/1653730632_CII 202019 20Volume 202.pdf
- National Crime Records Bureau, 2021 (Volume 2; pp. 785–877). (2021). Ministry of Home Affairs, Delhi. Retrieved on February 02, 2025, From https://www.ncrb.gov.in/uploads/nationalcrimerecordsbureau/post/1679310741CII2021Volume2.pdf
- National Crime Records Bureau, 2022 (Volume 2; pp. 785–877). (2022). Ministry of Home Affairs, Delhi. Retrieved on February 02, 2025, From https://www.ncrb.gov.in/uploads/nationalcrimerecordsbureau/custom/1701608364CrimeinIndia2022Book2.pdf
- National Crime Records Bureau, 2023 (Volume 2; pp. 785–877). (2023). Ministry of Home Affairs, Delhi. Retrieved on February 02, 2025, From https://www.ncrb.gov.in/uploads/files/2CrimeinIndia2023PartII2.pdf
- National Crime Records Bureau,2020 (Volume 2; pp. 759–850). (2020). Ministry of Home Affairs, Delhi. Retrieved on February 02, 2025, From https://www.ncrb.gov.in/uploads/nationalcrimerecordsbureau/custom/1653720991_CII 202020 20Volume 202.pdf
- National Payment Corporation of India. (2026). Unified Payments Interface (UPI) monthly statistics. product statistics. Retrieved May 7, 2026, from https://www.npci.org.in/product/upi/product-statistics
- Routiya, V., & Vaishnav, S. (2025). Financial vulnerability in the digital age case studies of cyber frauds in state of Chhattisgarh (SSRN Working Paper No. 5255157). SSRN. Retrieved April 17, 2026, from https://ssrn.com/abstract=5255157
- Ueno, D., Arakawa, M., Fujii, Y., Amano, S., Kato, Y., Matsuoka, T., and Narumoto, J. (2022). Psychosocial characteristics of victims of special fraud among Japanese older adults: A cross-sectional study using scam vulnerability scale. Frontiers in Psychology, 13, Article 960442. Retrieved April 27, 2026, from https://doi.org/10.3389/fpsyg.2022.960442
- Ueno, D., Daiku, Y., Eguchi, Y., Iwata, M., Amano, S., Ayani, N., Nakamura, K., Kato, Y., Matsuoka, T., & Narumoto, J. (2021). Mild cognitive decline is a risk factor for scam vulnerability in older adults. Frontiers in Psychiatry, 12, Article 685451, 1–13. Retrieved April 28, 2026, https://doi.org/10.3389/fpsyt.2021.685451
- Whitty, M. T. (2019). Predicting susceptibility to cyber-fraud victimhood. Journal of Financial Crime, 26(1), 277–292. Retrieved April 25, 2026, from https://doi.org/10.1108/JFC-10-2017-0095
- Zhang, Z., & Ye, Z. (2022). The role of social-psychological factors of victimity on victimization of online fraud in China. Frontiers in Psychology, 13, Article 1030670. Retrieve 27 April, 2026, From https://doi.org/10.3389/fpsyg.2022.1030670
![SHIKSHAN SANSHODHAN [ ISSN(O): 2581-6241 ] Peer-Reviewed, Referred, Indexed Research Journal.](https://shikshansanshodhan.researchculturesociety.org/wp-content/uploads/SS-TITLE-HEADER.png)