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    • 4. 发明授权
    • Fraud protection using business process-based customer intent analysis
    • 欺诈保护采用基于业务流程的客户意图分析
    • US08082349B1
    • 2011-12-20
    • US11582739
    • 2006-10-17
    • Sunil BhargavaBen FeldmanRoger FaulknerPeter Relan
    • Sunil BhargavaBen FeldmanRoger FaulknerPeter Relan
    • G06F15/16
    • H04L63/1416G06Q30/0185
    • 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.
    • 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。
    • 5. 发明授权
    • Defining and monitoring business rhythms associated with performance of web-enabled business processes
    • 定义和监控与启用Web的业务流程的性能相关联的业务节奏
    • US07783745B1
    • 2010-08-24
    • US11336019
    • 2006-01-20
    • Sunil BhargavaAmitava K. Raha
    • Sunil BhargavaAmitava K. Raha
    • G06F15/173G06F11/00G06F15/02
    • G06Q10/06
    • Monitoring the operational performance of a network-based business service involves defining and detecting significant variances in activities associated with performance of the service. A business service is characterized by corresponding business rhythms, which are derived from patterns of metric values for business activities that are part of business processes corresponding to the business service. Each business rhythm is characterized as a set of statistics about the corresponding metric(s) classified for a period of time or over a group of multiple periods of time, statistically compressed, and persistently stored. For purposes of real-time monitoring of the operational performance of the business service, significant variances in the normal behavior of the business service are automatically detected by comparing real-time metric data with corresponding historical metric data, in view of associated threshold values.
    • 监控基于网络的业务服务的运营性能涉及定义和检测与服务性能相关的活动的重大差异。 商业服务的特点是相应的业务节奏,它们源于作为与业务服务相对应的业务流程的一部分的业务活动的度量值模式。 每个商业节奏被表征为关于在一段时间内或在多个时间段的组中分类的对应度量的一组统计量,统计压缩并持续存储。 为了实时监控业务服务的运行性能,鉴于相关的阈值,通过将实时度量数据与对应的历史度量数据进行比较,可以自动检测业务服务正常行为的重大差异。
    • 8. 发明授权
    • Defining and detecting network application business activities
    • 定义和检测网络应用业务活动
    • US07653742B1
    • 2010-01-26
    • US10952599
    • 2004-09-28
    • Sunil BhargavaSudheer Thakur
    • Sunil BhargavaSudheer Thakur
    • G06F15/173
    • H04L41/5096H04L41/0213H04L41/5058
    • Network applications are monitored by defining and detecting activities associated with the applications. Such activities are referred to as “business activities” in the sense that the activities are performed in the process of conducting business using applications. Each business activity of interest is associated with a unique “business signature” which can be used to identify the activity from streams or collections of information. In one embodiment, each business signature of interest to a business is defined as a set of one or more parameter name-value pairs. Once defined, network traffic to and from an application is monitored to detect business signatures, to detect that a corresponding business activity was started. Detecting an activity is based on real-time matching of business signature character patterns within a stream of characters with a repository of character patterns that each represents a business signature defined for the application.
    • 通过定义和检测与应用程序相关的活动来监视网络应用程序。 这些活动被称为“商业活动”,因为活动是在使用申请进行业务的过程中进行的。 感兴趣的每个业务活动都与唯一的“业务签名”相关联,可以用于从流或信息集合中识别活动。 在一个实施例中,业务感兴趣的每个业务签名被定义为一个或多个参数名称 - 值对的集合。 一旦定义,进入和从应用程序的网络流量被监视以检测业务签名,以检测相应的业务活动是否已经启动。 检测活动是基于字符流内的商业签名字符模式与每个表示为应用定义的业务签名的字符模式的存储库的实时匹配。
    • 9. 发明申请
    • Method and system for establishing commonality between members in an online community
    • 建立在线社区成员之间共同性的方法和系统
    • US20090112987A1
    • 2009-04-30
    • US11978413
    • 2007-10-29
    • Sunil Bhargava
    • Sunil Bhargava
    • G06F15/16
    • G06Q30/02
    • A method, system and computer program product for establishing commonality between a plurality of members and deriving an opinion of a dignitary on one or more issues in an online community is disclosed. A questioner poses a questionnaire, which includes one or more questions on the issues in the online community. The method includes receiving one or more responses to the questions from the members. The responses are processed to derive the attributes of each of the members. A commonality indicator indicating a commonality between the members is derived based on the attributes of the members. Further, a normalcy indicator between a member and the plurality of members is derived. Further, the opinion of the dignitary is derived based on the responses of the plurality of members.
    • 公开了一种用于在多个成员之间建立共同性并且在在线社区中的一个或多个问题上导出尊严意见的方法,系统和计算机程序产品。 提问者提出问卷,其中包括一个或多个在线社区问题的问题。 该方法包括从成员接收对问题的一个或多个响应。 处理响应以导出每个成员的属性。 基于成员的属性导出表示成员之间共同性的共性指标。 此外,导出了成员和多个成员之间的正常指示符。 此外,尊重的意见是基于多个成员的答复而得出的。