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About Protecting E-Commerce Systems From Online Fraud
Due to the advent of Internet technologies, Ecommerce widely adapted mode of business in modern times. With the growth of E-commence domain credit card usage has become a common phenomenon. This has given chance to adversaries to commit fraud. In the real world, there were plenty of instances of fraud cases. It has its impact on financial outfits that issue credit cards, the E-commerce business entities and also the customers of the E-commerce applications. To overcome this problem and to build confidence in the stakeholders of the Ecommerce many techniques came into existence. As simple pattern matching methods are inadequate to solve the problem many modern techniques came into existence. They are based on Genetic programming, Sequence Alignment, Machine learning, Fuzzy logic, Data mining and Artificial intelligence. These techniques are capable of detecting fraudulent transactions. In this paper we explore various techniques being used. We also build a prototype application which demonstrates the efficiency of Genetic Programming to detect credit card fraud. The empirical results revealed that the proposed solution is effective.
Detailed Information
| Author: | ['seventhsensegroup'] |
|---|---|
| Publication Year: | 2014 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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