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논문검색

GPS-Based Fraud Detection Model

초록

영어

As smartphones rapidly spread in the society, the number of security accidents is also dramatically increasing. Particularly, the rapid growth of FinTech provides users with a convenient payment method. FinTech, which is a combination of ‘Financial’ and ‘Technique’, means a technology that handles financial transactions based on IT technology. Users can make a payment anytime and anywhere by using FinTech and smartphone. Accordingly, since it has become easier to make a payment, security accidents related to financial transaction are increasing. Financial security accidents related to the use of smartphones can take place in various ways such as stealing, hacking and fraud, and the amount of damage and loss is astronomical. Therefore, this study aims to propose FDS (Fraud Detection System) using GPS information provided as default by terminals such as smartphone.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1. The Elements to Detect Illegal Smartphone-Based Transactions
  2.2. FDS (Fraud Detection System)
  2.3. Classification of FDS
  2.4. FinTech
 3. Proposed FDS Model
  3.1. Classification of Payment Methods
  3.2. Use of User’s GPS Information in Remote Payment Method
  3.3. Comparison of GPS Information in Direct Payment Method
  3.4. Integrated Algorithm
 4. Conclusion
 References

저자정보

  • Min-gyu Lee Graduate School of Software, Soongsil University, Seoul 156-743, Korea
  • Hyo-jung Sohn Graduate School of Software, Soongsil University, Seoul 156-743, Korea
  • Baek-min Seong Graduate School of Software, Soongsil University, Seoul 156-743, Korea
  • Jong-bae Kim Graduate School of Software, Soongsil University, Seoul 156-743, Korea

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