IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

An Analysis of Online Auction and Its Detection Using Software Development Methods

Main Article Content

Gulista Khan

Abstract

The internet economy now includes many people who participate in online auctions. However, there are a number of fraudulent buying and selling tactics that might be used during an auction. While experts have offered strategies for preventing this fraud, it is very difficult to gauge how successful these solutions are. This is because it is morally wrong to engage in dishonest behaviour only to elicit emotions. Furthermore, there isn't much information available about competitive auctions since it would be sensitive for an internet auctioneer to state that fraud has happened or is occurring. We created our own online retail server to conduct estate sale research so that we could monitor the evaluation of fraud deterrents. This post details our experiences developing and implementing our own estate sale system, called auction. There is still a dearth of useful information on the design of auction systems. In order to analyse and create the auction system, we use the Unified Conceptual Schema (UML) to represent the architecture, subdivisions, usage circumstances, activity workflows, state diagrams, user interactions, and system incorporating use. Our bidding methodology is based on concepts from instruments openly accessible, enabling further research on our findings.

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