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用例 > 欺诈识别

欺诈识别

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概述
随着自动化和数字交易的增加，欺诈检测变得越来越重要。物联网欺诈检测系统实时收集和使用大数据来检测欺诈性金融活动、发送警报和阻止交易。实时大数据处理与机器学习算法相结合，在异常检测和识别可能导致质量问题或安全威胁的先前未知问题方面非常有效。这使服务提供商能够消除现有异常并防止未来出现异常，以及更快速地检测问题并主动解决问题。可以通过分析设备行为、网络动态、跨一个客户拥有的设备组的使用或位置模式来检测异常。
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