Protecting E-Commerce Systems From Online Fraud

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@Article{PhaniAlekhya:2013:IJCTT,

• author = "P. PhaniAlekhya and Sk. Mahaboob Basha",
• title = "Protecting {E}-Commerce Systems From Online Fraud",
• journal = "International Journal of Computer Trends and Technology",
• year = "2013",
• volume = "4",
• number = "10",
• pages = "3549--3554",
• month = oct,
• keywords = "genetic algorithms, genetic programming, credit card fraud detection, fraud detection techniques, e-commerce",
• ISSN = "2231-2803",
• bibsource = "OAI-PMH server at www.doaj.org",
• oai = "oai:doaj-articles:5319e55b28528c16d3d99a2dd88a4610",
• publisher = "Seventh Sense Research Group",
• URL = "http://ijcttjournal.org/Volume4/issue-10/IJCTT-V4I10P132.pdf",
• URL = "http://ijcttjournal.org/archives/ijctt-v4i10p132",
• broken = "http://www.ijcttjournal.org/volume-4/issue-10/IJCTT-V4I10P132.pdf",
• size = "6 pages",
• abstract = "Due to the advent of Internet technologies, E-commerce 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 E-commerce 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.",
• notes = "%Aug 2018, Feb 2022 url http://ijcttjournal.org/archives/ijctt-v4i10p132 unstable",

}

Genetic Programming entries for P PhaniAlekhya Sk Mahaboob Basha

Citations