通过寻找数据模式来阻止欺诈
建议使用哪些应用程序进行 SQL Server 审核，更具体地说，进行欺诈调查？
我需要一种工具，允许最终用户关联数据值以发现欺诈模式。该工具必须允许根据需要进行调整以减少误报。
同样重要的是它要相当直观。理想情况下，一旦到位，它将允许不熟悉 SQL 的最终用户直接与其交互并使用 GUI 界面进行自定义。
建议？
What applications are recommended for SQL Server auditing and, more specifically, fraud investigations?
I need a tool that allows an end user to correlate data values to find fraud patterns. This tool must allow tuning as needed to reduce false positives.
It's also important that it be fairly intuitive. Ideally, once in place it would allow an end user unfamiliar with SQL to interface with it directly and customize using a GUI interface.
Suggestions?
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它不同于简单的业务规则——类型 X 的用户不允许更改折扣，优惠券的使用次数不得超过 N 次。
通过一些非常聪明的贝叶斯推理引擎的东西，发现客户 X 的姓氏是 Y 先生名字的阿拉伯语翻译，Y 先生为他签名作为抵押贷款担保，他们声称有不同的家庭住址，但邮政编码相同。这东西的价格非常“六位数”
It varies from simple business rules - user of type X aren't allowed to change discounts, no more than N uses of a coupon.
Through to some very clever Bayesian inference engine stuff that finds customer X's surname is the arabic translation of Mr Y's name who signed for him as a mortgage guarantee and they claim different home addresses but in the same zip code. This stuff gets very '6figure' pricey
执法部门和信用卡公司利用数据挖掘来阻止犯罪分子。大数据集中的一些模式可以揭示更大的动机。执法部门掌握的数据越多，就越能追踪罪犯。
您希望收集尽可能多的有关可能发生的犯罪的数据。这意味着您希望在数据库的网络上运行网络入侵检测系统（NIDS）。 Snort是一个非常优秀的NIDS并且它免费且开源。您希望向执法部门提供尽可能多的犯罪证据，联邦调查局会喜欢您的嗅探日志。我说何时因为这只是时间问题。
Data-mining is used by law enforcement and credit card companies to stop criminals. There are patterns in large data sets that can reveal a greater motive. The more data the law enforcement has, the better they can track down the criminal(s).
You want to gather as much data as you can about a crime that may happen. This means you want to run a Network Intrusion Detection System (NIDS) on the Database's network. Snort is a very good NIDS and its free and open source. You wan to provide as much evidence of a crime to law enforcement and the FBI will LOVE your snort logs. I say when because its only a matter of time.