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Immun the method for detecting a user behavior in an electronic transactional process

机译:免疫在电子交易过程中检测用户行为的方法

摘要

The present invention relates to a immuno detection method for a user behavior in an electronic transactional process, comprising a data preprocessing step, the predominantly a user operation process to a sequence format processed and related repeated data is removed; a training step, of a predominantly age steps value of each sequence according to a time-sequence of and after an age stages of development process is calculated, outmoded protocols according to the old stages values and a normal sequenzbiliothek (i.e, antibodies) is obtained; an acquisition step of the predominantly detects whether a newly generated is mutated transaction sequence or not; and an updating step, the age steps values of one''s own bodies and foreign bodies in accordance with a detection result in good time updated and a related library set updated. The present invention for anomalous situations is aligned in the electronic transactional process, which can be a mistake by user and also an illegal operation, which can be caused by the use of an incorrect account, or other situations, which do not coincide with user behavior habits. The present invention provides a immuno a method for detecting an abnormal user behavior in an electronic transactional process for the electronic commerce and third party - payment flat shapes, and has a function of the features of a control and can be avoided, even adaptation capability, of an independent learning, etc.
机译:本发明涉及一种用于电子交易过程中用户行为的免疫检测方法,包括:数据预处理步骤,主要是对序列格式进行处理的用户操作过程,并去除相关的重复数据;在训练过程中,根据发育阶段的年龄顺序计算每个序列的主要年龄步长值,然后计算出该年龄段的年龄步长值,然后根据该旧阶段值过时的方案并获得正常的sequenzbiliothek(即抗体) ;所述获取步骤主要检测新生成的交易序列是否突变;以及更新步骤,根据检测结果及时更新自身和异物的年龄值,并更新相关库集。用于异常情况的本发明在电子交易过程中进行调整,这可能是用户的错误,也可能是由于使用不正确的帐户或其他与用户行为不一致的情况引起的非法操作。习惯。本发明提供了一种免疫方法,用于在电子商务和第三方的电子交易过程中检测异常的用户行为-支付单位形状,并且具有控件的功能并且可以避免甚至适应能力,独立学习等

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