Predicting behavior using features derived from statistical information

    公开(公告)号:US10482482B2

    公开(公告)日:2019-11-19

    申请号:US13892311

    申请日:2013-05-13

    摘要: A training system is described herein for generating a prediction model that relies on a feature space with reduced dimensionality. The training system performs this task by producing partitions, each of which corresponds to a subset of aspect values (where each aspect value, in turn, may correspond to one or more attribute values). The training system then produces instances of statistical information associated with the partitions. Each instance of statistical information therefore corresponds to feature information that applies to a plurality of aspect values, rather than a single aspect value. The training system then trains the prediction model based on the feature information. Also described herein is a prediction module that uses the prediction model to make predictions in various online contexts.

    PREDICTING BEHAVIOR USING FEATURES DERIVED FROM STATISTICAL INFORMATION
    2.
    发明申请
    PREDICTING BEHAVIOR USING FEATURES DERIVED FROM STATISTICAL INFORMATION 审中-公开
    使用从统计信息衍生的特征的预测行为

    公开(公告)号:US20140337096A1

    公开(公告)日:2014-11-13

    申请号:US13892311

    申请日:2013-05-13

    IPC分类号: G06Q30/02

    摘要: A training system is described herein for generating a prediction model that relies on a feature space with reduced dimensionality. The training system performs this task by producing partitions, each of which corresponds to a subset of aspect values (where each aspect value, in turn, may correspond to one or more attribute values). The training system then produces instances of statistical information associated with the partitions. Each instance of statistical information therefore corresponds to feature information that applies to a plurality of aspect values, rather than a single aspect value. The training system then trains the prediction model based on the feature information. Also described herein is a prediction module that uses the prediction model to make predictions in various online contexts.

    摘要翻译: 本文描述了一种训练系统,用于生成依赖于具有降低的维度的特征空间的预测模型。 训练系统通过产生分区来执行该任务,每个分区对应于一个方面值的子集(其中每个方面的值又可以对应于一个或多个属性值)。 训练系统然后产生与分区相关联的统计信息的实例。 因此,统计信息的每个实例对应于应用于多个方面值而不是单个方面值的特征信息。 然后训练系统根据特征信息训练预测模型。 这里还描述了使用预测模型来在各种在线上下文中进行预测的预测模块。

    APPLICATION REPUTATION SERVICE
    3.
    发明申请
    APPLICATION REPUTATION SERVICE 有权
    申请信誉服务

    公开(公告)号:US20140298465A1

    公开(公告)日:2014-10-02

    申请号:US14303051

    申请日:2014-06-12

    IPC分类号: G06F21/56

    摘要: The claimed subject matter is directed to the use of an application reputation service to assist users with minimizing their computerized machines' exposure to and infection from malware. Specifically, the claimed subject matter provides a method and system of an application reputation service that contains the reputations for elements that are known to be non-malicious as well as those known to be malicious.One embodiment of the claimed subject matter is implemented as a method to determine the reputation of an element (e.g., an application). When a user attempts to install or execute a new application, the Application Reputation Service is queried by the user's machine with a set of identities for the element. The Application Reputation Service determines the reputation of the application by referencing a knowledge base of known reputations and returns an indication (e.g., an overall rating, or a flag) of how safe that application would be to install and run on the user's computer.

    摘要翻译: 所要求保护的主题涉及使用应用程序信誉服务来帮助用户最小化其计算机化机器对恶意软件的暴露和感染。 具体地,所要求保护的主题提供了应用程序信誉服务的方法和系统,其包含已知是非恶意的元件以及已知是恶意的元件的声誉。 所要求保护的主题的一个实施例被实现为确定元素(例如,应用)的声誉的方法。 当用户尝试安装或执行新应用程序时,应用程序信誉服务将由用户的机器查询,该元素具有一组标识。 应用程序信誉服务通过引用已知声誉的知识库来确定应用程序的声誉,并返回应用程序将如何安全地在用户的计算机上安装和运行的指示(例如,总体评级或标志)。

    Device-Pairing by Reading an Address Provided in Device-Readable Form
    4.
    发明申请
    Device-Pairing by Reading an Address Provided in Device-Readable Form 有权
    通过读取以设备可读格式提供的地址进行设备配对

    公开(公告)号:US20130246637A1

    公开(公告)日:2013-09-19

    申请号:US13888356

    申请日:2013-05-06

    IPC分类号: H04L29/06

    摘要: A system is described for allowing a user, operating a trusted device, to remotely log into a server via a potentially untrustworthy client. The system operates by establishing a first secure connection between the client and the server. The system then establishes a second secure connection between the device and the server through the client. The user then remotely logs into the server over the second secure connection using the device. The second secure connection is tunneled within the first secure connection, preventing the untrustworthy client from discovering personal information associated with the user. According to one feature, prior to forming the second secure connection, the user can establish a pairing relationship with the client by reading an address of the client using any kind of reading mechanism. According to another feature, the device can receive marketing information in the course of a transaction.

    摘要翻译: 描述了允许用户操作可信设备的系统通过潜在不可信任的客户端远程登录到服务器中的系统。 该系统通过在客户端和服务器之间建立第一个安全连接来运行。 然后,系统通过客户端在设备和服务器之间建立第二个安全连接。 然后用户使用设备通过第二个安全连接远程登录到服务器。 第二安全连接在第一安全连接中被隧道化,从而防止不可信任的客户端发现与用户相关联的个人信息。 根据一个特征,在形成第二安全连接之前,用户可以通过使用任何种类的读取机制读取客户端的地址来与客户端建立配对关系。 根据另一个特征,该设备可以在交易过程中接收营销信息。

    Device-pairing by reading an address provided in device-readable form
    5.
    发明授权
    Device-pairing by reading an address provided in device-readable form 有权
    通过读取以设备可读形式提供的地址进行设备配对

    公开(公告)号:US08966096B2

    公开(公告)日:2015-02-24

    申请号:US13888356

    申请日:2013-05-06

    摘要: A system is described for allowing a user, operating a trusted device, to remotely log into a server via a potentially untrustworthy client. A first secure connection is established between the client and the server. A second secure connection is established between the device and the server through the client. The user then remotely logs into the server over the second secure connection using the device. The second secure connection is tunneled within the first secure connection, preventing the untrustworthy client from discovering personal information associated with the user. According to one feature, prior to forming the second secure connection, the user establishes a pairing relationship with the client by reading an address of the client using a reading mechanism. According to another feature, the device can receive marketing information in the course of a transaction.

    摘要翻译: 描述了允许用户操作可信设备的系统通过潜在不可信任的客户端远程登录到服务器中的系统。 在客户端和服务器之间建立第一个安全连接。 通过客户端在设备和服务器之间建立第二个安全连接。 然后用户使用设备通过第二个安全连接远程登录到服务器。 第二安全连接在第一安全连接中被隧道化,从而防止不可信任的客户端发现与用户相关联的个人信息。 根据一个特征,在形成第二安全连接之前,用户通过使用读取机制读取客户端的地址来与客户端建立配对关系。 根据另一个特征,该设备可以在交易过程中接收营销信息。

    Automatic construction of human interaction proof engines
    7.
    发明授权
    Automatic construction of human interaction proof engines 有权
    人工互动发动机自动构建

    公开(公告)号:US08978144B2

    公开(公告)日:2015-03-10

    申请号:US14281316

    申请日:2014-05-19

    摘要: Human Interaction Proofs (“HIPs”, sometimes referred to as “captchas”), may be generated automatically. An captcha specification language may be defined, which allows a captcha scheme to be defined in terms of how symbols are to be chosen and drawn, and how those symbols are obscured. The language may provide mechanisms to specify the various ways in which to obscure symbols. New captcha schemes may be generated from existing specifications, by using genetic algorithms that combine features from existing captcha schemes that have been successful. Moreover, the likelihood that a captcha scheme has been broken by attackers may be estimated by collecting data on the time that it takes existing captcha schemes to be broken, and using regression to estimate the time to breakage as a function of either the captcha's features or its measured quality.

    摘要翻译: 人工交互证明(“HIP”,有时也称为“验证码”)可能会自动生成。 可以定义验证码规范语言,这允许根据如何选择和绘制符号以及这些符号如何被遮蔽来定义验证码方案。 该语言可以提供机制来指定模糊符号的各种方式。 可以通过使用遗传算法从现有规范中生成新的验证码方案,该遗传算法将已经获得成功的现有验证码方案的功能相结合。 此外,验证码计划已被攻击者破坏的可能性可以通过在现有验证码计划被破坏的时间收集数据来估计,并且使用回归来估计作为验证码的特征或函数的破坏时间 其测量质量。

    AUTOMATIC CONSTRUCTION OF HUMAN INTERACTION PROOF ENGINES
    8.
    发明申请
    AUTOMATIC CONSTRUCTION OF HUMAN INTERACTION PROOF ENGINES 有权
    人类交互防护机器人的自动化建设

    公开(公告)号:US20140259104A1

    公开(公告)日:2014-09-11

    申请号:US14281316

    申请日:2014-05-19

    IPC分类号: G06F21/30

    摘要: Human Interaction Proofs (“HIPs”, sometimes referred to as “captchas”), may be generated automatically. An captcha specification language may be defined, which allows a captcha scheme to be defined in terms of how symbols are to be chosen and drawn, and how those symbols are obscured. The language may provide mechanisms to specify the various ways in which to obscure symbols. New captcha schemes may be generated from existing specifications, by using genetic algorithms that combine features from existing captcha schemes that have been successful. Moreover, the likelihood that a captcha scheme has been broken by attackers may be estimated by collecting data on the time that it takes existing captcha schemes to be broken, and using regression to estimate the time to breakage as a function of either the captcha's features or its measured quality.

    摘要翻译: 人工交互证明(“HIP”,有时也称为“验证码”)可能会自动生成。 可以定义验证码规范语言,这允许根据如何选择和绘制符号以及这些符号如何被遮蔽来定义验证码方案。 该语言可以提供机制来指定模糊符号的各种方式。 可以通过使用遗传算法从现有规范中生成新的验证码方案,该遗传算法将已经获得成功的现有验证码方案的功能相结合。 此外,验证码计划已被攻击者破坏的可能性可以通过在现有验证码计划被破坏的时间收集数据来估计,并且使用回归来估计作为验证码的特征或函数的破坏时间 其测量质量。