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Secure Framework for E-Commerce Applications in Cloud Environment

Secure Framework for E-Commerce Applications in Cloud Environment

Sonika Shrivastava, R. K. Pateriya
Copyright: © 2018 |Pages: 28
ISBN13: 9781522536468|ISBN10: 1522536469|EISBN13: 9781522536475
DOI: 10.4018/978-1-5225-3646-8.ch004
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MLA

Shrivastava, Sonika, and R. K. Pateriya. "Secure Framework for E-Commerce Applications in Cloud Environment." Improving E-Commerce Web Applications Through Business Intelligence Techniques, edited by G. Sreedhar, IGI Global, 2018, pp. 82-109. https://doi.org/10.4018/978-1-5225-3646-8.ch004

APA

Shrivastava, S. & Pateriya, R. K. (2018). Secure Framework for E-Commerce Applications in Cloud Environment. In G. Sreedhar (Ed.), Improving E-Commerce Web Applications Through Business Intelligence Techniques (pp. 82-109). IGI Global. https://doi.org/10.4018/978-1-5225-3646-8.ch004

Chicago

Shrivastava, Sonika, and R. K. Pateriya. "Secure Framework for E-Commerce Applications in Cloud Environment." In Improving E-Commerce Web Applications Through Business Intelligence Techniques, edited by G. Sreedhar, 82-109. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3646-8.ch004

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Abstract

There has been a massive increase in the use of the internet for shopping and payment. The ease and availability of the internet has accelerated the growth of online applications. E-commerce applications handle many sensitive pieces of data like financial or personal data, which are used for critical tasks like banking, socializing, shopping, and tax filling. Online financial service and shopping sites are an attractive target for fraudsters because money transactions are done through these sites. Credit card fraud, identity theft, and account hijack are key concerns for these organizations. These frauds cause financial loss and hurt the reputation of e-commerce sites. The use of the cloud platform has made these sites more productive, but at the same time, it has opened them to a variety of threats. This chapter describes a framework for credit card and identity fraud detection using big data analytics and machine learning techniques to make e-commerce sites more secure and efficient.

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