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Chapter One: A Deep-forest based approach for detecting fraudulent online transaction

Lizhi Wang^a; Zhaohui Zhang^a; Xiaobo Zhang^a; Xinxin Zhou^a; Pengwei Wang^a; Yongjun Zheng^b ^a School of Computer Science and Technology, Donghua University, Shanghai, PR China^b School of Physics, Engineering and Computer Science, University of Hertfordshire, Hertfordshire, United Kingdom

Abstract

Fraudulent transaction is the one of the most serious threats to online security nowadays. Artificial Intelligence is vital for financial risk control in cloud environment. Many studies had attempted to explore methods for online transaction fraud detection; however, the existing methods are not sufficient to conduction detection with high precision. In this chapter, we ...

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