Secure Online Seller Registration System

The rapid growth of e-commerce has led to an increase in counterfeit products and fraudulent sellers, causing financial losses to buyers and reducing trust in online marketplaces. Traditional verification systems are inadequate in detecting fraud, necessitating the implementation of advanced AI-driven solutions. This paper proposes an AI-powered marketplace that integrates Aadhaar-based seller verification, sentiment analysis for fraud detection, and multi-factor authentication (MFA) to ensure a secure and trustworthy e-commerce platform. Our system employs AI, natural language processing (NLP). The proposed solution reduces fraud risks, improves transparency, and builds consumer confidence in online purchases

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-22
DOI
https://doi.org/10.22214/ijraset.2025.71282
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Secure Online Seller Registration System

S. Janani
International Journal for Research in Applied Science and Engineering Technology
Spam and Phishing Detection
article

Secure Online Seller Registration System

S. Janani
article en

Abstract

The rapid growth of e-commerce has led to an increase in counterfeit products and fraudulent sellers, causing financial losses to buyers and reducing trust in online marketplaces. Traditional verification systems are inadequate in detecting fraud, necessitating the implementation of advanced AI-driven solutions. This paper proposes an AI-powered marketplace that integrates Aadhaar-based seller verification, sentiment analysis for fraud detection, and multi-factor authentication (MFA) to ensure a secure and trustworthy e-commerce platform. Our system employs AI, natural language processing (NLP). The proposed solution reduces fraud risks, improves transparency, and builds consumer confidence in online purchases

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 84%
Spam and Phishing Detection
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