Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{174500,
author = {Rajvee Sakariya and Kathit Dwarkesh Bhatt and Dhruv Ashishkumar Patel and Dhrit Rakesh Patel and Arya Sanjaykumar Desai},
title = {A Multi-faceted Approach to Enhancing Security in Online Auction Systems},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {10},
pages = {4271-4273},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=174500},
abstract = {Online auction systems are a leading phenomenon of contemporary e-commerce, enabling cross-border exchange among buyers and sellers. But inbuilt susceptibilities to security risks like fraud, data breaches, and privacy violations undermine user trust and market efficiency. This research examines key security issues in online auction systems and offers a multi-faceted solution that incorporates blockchain technology, cryptographic methods, and artificial intelligence (AI)-based fraud detection. We evaluate the merits and drawbacks of both methods, gauging their ability to create more secure, transparent, and trustworthy online auction platforms.},
keywords = {},
month = {March},
}
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