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    Enterprise management system for normalization, integration and correlation of business measurements with application and infrastructure measurements
    4.
    发明授权
    Enterprise management system for normalization, integration and correlation of business measurements with application and infrastructure measurements 有权
    企业管理系统，用于业务测量与应用程序和基础设施测量的归一化，集成和关联

    公开(公告)号：US07568019B1

    公开(公告)日：2009-07-28

    申请号：US10367578

    申请日：2003-02-14

    申请人： Sunil Bhargava ,  Peter Relan ,  Michael Barrett Stern

    发明人： Sunil Bhargava ,  Peter Relan ,  Michael Barrett Stern

    IPC分类号： G06F15/173

    CPC分类号： G06Q10/06

    摘要： A method is provided for monitoring, predicting performance of, and managing Business Operations by the simultaneous, real-time Integration, Normalization and Correlation of direct measurements at the Business Layer and other Layers of Business Operations. The other Layers considered, may include, for example, Application and Infrastructure Layers. The system enables the user to automate sophisticated management tasks by Correlating measurements of activity, performance and availability at all Layers of Business Operations. Significantly, the techniques described herein extend the domain of the Correlations across real-time measurements from all Layers of Business Operations, giving central importance to the measurements in the Business Layer within the Correlations.

    摘要翻译： 提供了一种方法，用于通过业务层和其他业务层面的同步实时集成，规范化和相关性的直接测量来监控，预测业务运营的绩效和管理业务运营。 其他层考虑，可能包括例如应用和基础设施层。 该系统使用户能够通过在所有业务层面的活动，性能和可用性相关度来自动化复杂的管理任务。 值得注意的是，本文所述的技术可以跨所有业务层面的实时测量扩展相关的领域，从而对相关性内的业务层中的测量具有重要意义。

    Fraud protection using business process-based customer intent analysis
    6.
    发明授权
    Fraud protection using business process-based customer intent analysis 有权
    欺诈保护采用基于业务流程的客户意图分析

    公开(公告)号：US08082349B1

    公开(公告)日：2011-12-20

    申请号：US11582739

    申请日：2006-10-17

    申请人： Sunil Bhargava ,  Ben Feldman ,  Roger Faulkner ,  Peter Relan

    发明人： Sunil Bhargava ,  Ben Feldman ,  Roger Faulkner ,  Peter Relan

    IPC分类号： G06F15/16

    CPC分类号： H04L63/1416 ,  G06Q30/0185

    摘要： Online fraud is reduced by identifying suspicious activities in real time and providing alerting so that interdiction may be performed. Historical customer behavior is used to identify and flag deviations in activity patterns. An HTTP data stream is parsed, intelligently filtered, and key data is extracted in real time. The key data is periodically extracted from network traffic and used to update corresponding summaries stored in a fraud data mart. The data mart is constantly incrementally updated so that the most current historical information is available to a rules engine for real time comparison with new customer data and patterns occurring on the network. Fraud-related business signatures are applied to this data stream and/or a data mart to identify suspicious online transactions. By understanding the customer session, the customer's intended use of the online application is derived and possible fraudulent activities identified.

    摘要翻译： 通过实时识别可疑活动并提供警报，以便执行停职来减少在线欺诈。 历史客户行为用于识别和标记活动模式的偏差。 对HTTP数据流进行解析，智能过滤，实时提取密钥数据。 密钥数据从网络流量周期性地提取，并用于更新存储在欺诈数据集市中的相应摘要。 数据集市不断地逐步更新，使得最新的历史信息可用于规则引擎，以便与网络上发生的新客户数据和模式进行实时比较。 欺诈相关业务签名被应用于该数据流和/或数据集市以识别可疑的在线交易。 通过了解客户会话，客户对在线申请的预期用途得到推测，并可能发现欺诈活动。