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White-Collar Crimes In The Age Of Proptech: The Role Of Digital Platforms In Facilitating Real Estate Frauds




Abhinav Mall, Asian Law College, Noida

Ketan Saxena, Asian Law College, Noida

Akshita, Asian Law College, Noida


ABSTRACT


The advent of PropTech and digital real estate platforms has significantly expanded market reach but also opened new avenues for fraud. Major cities have seen rapid growth in online property transactions fueled by AI and immersive technology, yet scammers have adapted to exploit these channels. This paper examines how cybercriminals abuse online listings and portals to defraud homebuyers, tenants, and investors. It reviews India's legal framework including the Information Technology Act, the Indian Penal Code (and draft Bhartiya Nyaya Sanhita 2023), the Real Estate Regulatory Act (RERA), and consumer laws and assesses recent case law on platform liability. Two illustrative case studies (a 2024 Noida rental scam and a 2024 Bangalore investment fraud) highlight investigative and jurisdictional issues. We analyze gaps in existing statutes (such as limited KYC and weak notice procedures) and propose legislative and technological responses. In particular, we discuss blockchain-based title recording and AI-driven fraud detection, alongside enhanced regulatory coordination. The paper concludes with detailed recommendations for lawmakers, industry stakeholders, and lawyers to shore up trust and compliance in online property markets.



Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

Disclaimer:

The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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