作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2011, Vol. 37 ›› Issue (12): 113-115. doi: 10.3969/j.issn.1000-3428.2011.12.038

• 安全技术 • 上一篇    下一篇

一种校园卡欺诈检测模型

杨 彦 1a,1b,周 翔 2,周竹荣 1a   

  1. (1. 西南大学a. 计算机与信息科学学院;b. 信息中心,重庆 400715;2. 中国人民解放军63796部队,四川 西昌 615000)
  • 收稿日期:2011-01-20 出版日期:2011-06-20 发布日期:2011-06-20
  • 作者简介:杨 彦(1982-),男,工程师、硕士研究生,主研方向:数据挖掘;周 翔,工程师、硕士;周竹荣,副教授、博士

Fraud Detection Model of Campus Card

YANG Yan 1a,1b, ZHOU Xiang 2, ZHOU Zhu-rong 1a   

  1. (1a. School of Computer and Information Science; 1b. Information Center, Southwest University, Chongqing 400715, China; 2. 63796 Troops of PLA, Xichang 615000, China)
  • Received:2011-01-20 Online:2011-06-20 Published:2011-06-20

摘要: 针对校园卡欺诈带来的资金安全问题,提出一种“卡库对账-预处理-神经网络检测”的校园卡欺诈检测工作流程,设计卡库对账算法,该算法能够检测出系统中存在的有异常交易的校园卡,在此基础上结合神经网络算法,建立一种校园卡欺诈检测模型。实验结果表明,该检测模型对校园卡欺诈检测具有较好的适应性。

关键词: 校园卡, 欺诈检测, 检测模型, 神经网络

Abstract: In order to get rid of the capital safety resulting from the fraud of the campus card, this paper proposes a procedure of fraud detection named “reconciliation-pretreatment-detection with neural network”. A new algorithm to detect campus cards which has abnormity transactions is designed, and a model for fraud detection of campus card is built on the basis of neural network algorithm. Test results show the detection model possesses preferable practicability and self-adaptability.

Key words: campus card, fraud detection, detection model, neural network

中图分类号: