一种基于改进AGNES算法的POS机位置自学习方法

POS Terminal Position Self-Learning Method Based on Improved AGNES Algorithm

由于POS机刷卡量持续增长,寻找一种能减少银行卡盗刷现象的有效手段迫在眉睫。提出一种基于改进的AGNES算法的POS机位置自学习方法,并利用运营商移动网络现有位置服务,可向银行信用卡中心提供实时的持卡入手机位置和刷卡位置的一致性查询服务,模拟验证实验结果表明,该方法对于判断POS刷卡是否正常具有一定参考作用。

Since the amount of swiping the card on POS （Point of Sale） terminal increases continually, to find an effective way to reduce the identity theft on credit card is extremely urgent. A POS terminal position self-learning method based on improved AGNES algorithm was proposed in this paper. According to existing location service of operators＇ mobile network, the real-time consistent inquiry service of the mobile phone position of the card holder and position of swiping the card can be provided to the bank credit card center. Simulation and experiment results show that the proposed method can provide the useful reference to judge the normal or abnormal swiping card.