• Information Systems Review
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• v.22 no.1
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• pp.59-72
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• 2020

Artificial Intelligence is establishing itself as a familiar tool from an intractable concept. In this trend, financial sector is also looking to improve the problem of existing system which includes Fraud Detection System (FDS). It is being difficult to detect sophisticated cyber financial fraud using original rule-based FDS. This is because diversification of payment environment and increasing number of electronic financial transactions has been emerged. In order to overcome present FDS, this paper suggests 3 types of artificial intelligence models, Generative Adversarial Network (GAN), Deep Neural Network (DNN), and Convolutional Neural Network (CNN). GAN proves how data imbalance problem can be developed while DNN and CNN show how abnormal financial trading patterns can be precisely detected. In conclusion, among the experiments on this paper, WGAN has the highest improvement effects on data imbalance problem. DNN model reflects more effects on fraud classification comparatively.

• Journal of the Korea Society of Computer and Information
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• v.12 no.2 s.46
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• pp.171-180
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• 2007

The financial crime that used morale anger Phishing, Pharming, Vishing, SMiSing etc. will gain during recent cyber crimes. We are study systematically whether or not leakage of information and infringement can how easily occur to Phishing, Vishing, SMiSing using a social engineering technique and VoIP at these papers through experiment. A hacker makes Phishing, Vishing site, and test an information infringement process of a user through PiSing mail and a virus, a nasty code, Vishing, a SMiSing character, disarmament of Keylogger prevention S/W etc. as establish server. Information by Phishing, Vishing, SMiSing is infringed with leakage in the experiment results, and confirm, and test certified certificate and White List and a certified authentication mark, plug-in program installation etc. to prevention, and security becomes, and demonstrate. Technical experiment and prevention regarding Phishing of this paper and Vishing attack reduce the damage of information infringement, and be education for Ubiquitous information security will contribute in technical development.