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    • 1. 发明授权
    • Authentication frequency and challenge type based on application usage
    • 基于应用程序使用的验证频率和挑战类型
    • US09027119B2
    • 2015-05-05
    • US12240912
    • 2008-09-29
    • Jon Louis BentleyGeorge William ErhartLawrence O'GormanMichael J. SammonDavid Joseph Skiba
    • Jon Louis BentleyGeorge William ErhartLawrence O'GormanMichael J. SammonDavid Joseph Skiba
    • H04L9/32H04L29/06
    • H04L63/0861H04L9/3271H04L63/083H04L63/0846H04W12/06
    • An apparatus and method are disclosed for determining authentication frequency (i.e., the length of time between authenticating and re-authenticating a user) and challenge type (e.g., username/password, fingerprint recognition, voice recognition, etc.) based on what software applications a user is running on a data-processing system, and how those applications are being used (e.g., what functions are used, what data is input to or output by the application, how often and for how long applications are used, what input devices and output devices are used, etc.) Advantageously, the illustrative embodiment enables authentication frequency and challenge type to be adjusted based on the likelihood of malicious activity and/or the potential cost of malicious activity, as inferred from current and past application usage. In addition, the illustrative embodiment enables selection of an authentication challenge type that is less intrusive to a user based on current application usage.
    • 公开了一种用于基于什么软件应用来确定认证频率(即,认证和重新认证用户之间的时间长度)和质询类型(例如,用户名/密码,指纹识别,语音识别等)的装置和方法 用户正在数据处理系统上运行,以及如何使用这些应用程序(例如,使用什么功能,应用程序输入或输出哪些数据,应用程序的使用频率和时间以及应用程序的使用时间)什么输入设备 并且使用输出设备等)。有利地,说明性实施例使得能够基于从当前和过去的应用使用推断的恶意活动的可能性和/或恶意活动的潜在成本来调整认证频率和质询类型。 此外,说明性实施例使得能够基于当前应用使用来选择对用户侵入较少的认证挑战类型。
    • 4. 发明申请
    • SYSTEM AND METHOD FOR DETERMINING EXPERTISE THROUGH SPEECH ANALYTICS
    • 通过语音分析确定专业的系统和方法
    • US20140081643A1
    • 2014-03-20
    • US13617553
    • 2012-09-14
    • Ajita JOHNMichael J. SAMMONReinhard KLEMMDoree Duncan SELIGMANN
    • Ajita JOHNMichael J. SAMMONReinhard KLEMMDoree Duncan SELIGMANN
    • G10L21/00
    • G06F17/27G10L15/08G10L15/265G10L17/00G10L2015/088
    • Systems, methods, and non-transitory computer-readable storage media for determining expertise through speech analytics. The system associates speakers with respective segments of an audio conversation to yield associated speaker segments. The system also identifies a number of times a speaker has spoken about a topic in the audio conversation by searching the associated speaker segments for a term associated with the topic. The system then ranks the speaker as an expert in the topic when the number of times the speaker has spoken about the topic in the audio conversation exceeds a threshold. The audio conversation can include a compilation of a plurality of audio conversations. Moreover, the system can tag the associated speaker segments having the term with keyword tags and match a respective segment from the associated speaker segments with the speaker, the respective segment having a keyword tag.
    • 用于通过语音分析确定专业知识的系统,方法和非暂时的计算机可读存储介质。 该系统将扬声器与音频对话的相应段相关联,以产生相关的扬声器段。 该系统还通过搜索与该主题相关联的术语的相关联的说话者段来识别扬声器在音频会话中谈论的主题的次数。 当演讲者在音频会话中谈论主题的次数超过阈值时,该系统将作为该主题的专家排列扬声器。 音频会话可以包括多个音频会话的汇编。 此外,系统可以用具有关键字标签的关联标签的相关联的扬声器段标记,并且将来自相关联的扬声器段的相应段与扬声器相匹配,相应的段具有关键字标签。
    • 9. 发明授权
    • System and method for determining expertise through speech analytics
    • 通过语音分析确定专业知识的系统和方法
    • US09495350B2
    • 2016-11-15
    • US13617553
    • 2012-09-14
    • Ajita JohnMichael J. SammonReinhard KlemmDoree Duncan Seligmann
    • Ajita JohnMichael J. SammonReinhard KlemmDoree Duncan Seligmann
    • G06F17/27G10L17/00G10L15/26G10L15/08
    • G06F17/27G10L15/08G10L15/265G10L17/00G10L2015/088
    • Systems, methods, and non-transitory computer-readable storage media for determining expertise through speech analytics. The system associates speakers with respective segments of an audio conversation to yield associated speaker segments. The system also identifies a number of times a speaker has spoken about a topic in the audio conversation by searching the associated speaker segments for a term associated with the topic. The system then ranks the speaker as an expert in the topic when the number of times the speaker has spoken about the topic in the audio conversation exceeds a threshold. The audio conversation can include a compilation of a plurality of audio conversations. Moreover, the system can tag the associated speaker segments having the term with keyword tags and match a respective segment from the associated speaker segments with the speaker, the respective segment having a keyword tag.
    • 用于通过语音分析确定专业知识的系统,方法和非暂时的计算机可读存储介质。 该系统将扬声器与音频对话的相应段相关联,以产生相关的扬声器段。 该系统还通过搜索与该主题相关联的术语的相关联的说话者段来识别扬声器在音频会话中谈论的主题的次数。 当演讲者在音频会话中谈论主题的次数超过阈值时,该系统将作为该主题的专家排列扬声器。 音频会话可以包括多个音频会话的汇编。 此外,系统可以用具有关键字标签的关联标签的相关联的扬声器段标记,并且将来自相关联的扬声器段的相应段与扬声器相匹配,相应的段具有关键字标签。