对比文件名称：2014-06-14_CA2836717A_发明专利_CA2836717A1 DYNAMIC AUTHENTICATION TECHNOLOGY
目标专利名称：基于传感器输入的可缩放验证过程选择CN107077551B
本次调用的模型名称：GPT-4
### 特征比对表格
| 技术特征描述以及公开性判断结果 | 对比文件原文引用 | 公开性论述 |
| **技术特征A：其包括：多个传感器**<br>《直接公开》 | [0058] “The system 200 can also include or can communicate with one or more internal sensor devices for capturing local context information, e.g., a GPS sensor for determining a geographic position, a light sensor for determining a luminosity level in a user's environment, and accelerometers.” | 对比文件明确公开了系统可以包含或与多个内部传感器设备（例如GPS传感器、光传感器、加速度计）通信。这些传感器用于捕获本地上下文信息，其作用与目标专利中用于提供传感器输入的“多个传感器”相同。因此，该特征被对比文件直接公开。 |
| **技术特征B：基于源自所述多个传感器的一个或多个传感器输入来确定多个验证过程**<br>《直接公开》 | [0033] “Rule sets can be stored on the system 110 and/or provided by the cloud service 180. Each rule set can correspond to a particular transaction type and can specify, for that the transaction type, one or more context factors to be evaluated; evaluation criteria for evaluating the context factors, and one or more parameters.”<br>[0038] “In addition, the rule set can specify weightings applied to different modes of authentication. For instance, in a noisy environment, the system 110 can give greater weight to a biometric face recognition mode of authentication and a lower weighting to a voice recognition mode of authentication. In an environment of low ambient light, the system 110 can give a greater weight to a biometric finger print recognition mode of authentication and a lower weighting to a face recognition mode of authentication.” | 对比文件描述了系统基于规则集确定上下文因素，并基于对这些因素的评估来确定认证参数（如认证模式）。上下文因素包括通过传感器（如光传感器、麦克风）获取的环境信息（如噪声、环境光）。系统根据这些传感器输入（如嘈杂环境、低环境光）来调整对不同认证模式的权重或选择。这等同于基于传感器输入来确定多个可用的验证过程。因此，该特征被对比文件直接公开。 |
| **技术特征C：基于向应用程序或服务提供商中的至少一者验证的移动装置能力来确定多个验证过程**<br>《隐含公开》 | [0071] “The division of processing, e.g., template extraction or validation, between the mobile device and the cloud service 350 can be adjusted. In some implementations, the processing capabilities, e.g., CPU, memory, etc., of the mobile device are evaluated when determining how much processing should be performed by the cloud service 350.”<br>[00104] “The system 310 can be configured to operate within certain geographic regions, e.g., Kolkata, India, and not within other geographic regions, e.g., Bangalore, India. In some implementations, the system 310 is configured to restrict certain transactions within certain geographic regions.” | 对比文件公开了在确定处理分配（例如在移动设备与云服务之间分配模板提取或验证任务）时，会评估移动设备的处理能力（如CPU、内存）。这隐含了移动装置的硬件能力（计算资源）会影响认证过程的执行方式。此外，系统可被配置为仅在特定地理区域操作，这隐含了设备的网络连接、GPS等能力可能影响其向服务提供商验证的能力。虽然对比文件未明确使用“向应用程序或服务提供商验证的移动装置能力”这一表述，但本领域技术人员基于上述内容可以合理推断，移动装置自身的硬件、软件及传感器能力是确定可用验证过程集合时需要考虑的因素。因此，该特征被对比文件隐含公开。 |
| **技术特征D：从所述多个验证过程选择其中验证过程的信任指数大于风险指数的验证过程**<br>《直接公开》 | [0029] “The dynamic authentication system also may dynamically adjust authentication methods based on a context in which the transaction is being requested by increasing or decreasing the number of modes of authentication that a user needs to satisfy. For instance, the system may require only a password for a first transaction that appears appropriate and would result in a relatively low level of harm if fraudulent. For a second transaction that appears suspicious and would result in a relatively high level of harm if fraudulent, the system may require a password, a facial recognition match, and a fingerprint match to enable performance of the second transaction.”<br>[0048]-[0050] 描述了根据地理位置和时间差异等上下文因素评估，选择面部识别或面部加指纹识别的认证模式。 | 对比文件公开了系统根据交易上下文（如地理位置、时间间隔、交易类型等）动态调整认证方法。上下文评估本质上是在评估交易的风险程度（如可疑交易风险高），而选择的认证方法（如单一模式vs.多重模式）则对应了不同的安全强度或“信任”程度。系统选择足以应对当前风险（即安全强度/信任程度高于风险）的认证方法。这等同于从多个验证过程中选择信任指数大于风险指数的验证过程。因此，该特征被对比文件直接公开。 |
| **技术特征E：其中，所述风险指数是基于一个或多个背景输入或基于预指派的风险等级来确定的**<br>《直接公开》 | [0035] “In some implementations, the context factors include human factors, e.g., factors that measure a person's habits, mental state, or mood; a person's social environment, e.g., task-related activities; a person's physical environment, e.g., location, network connectivity, or battery life remaining on the person's mobile device; business data, e.g., goal-directed activities or trust; transaction details, e.g., transaction amounts (e.g., a withdrawal amount), transaction type, e.g., a cash withdrawal, timing of the transaction; and a geographic location of the transaction.”<br>[0034] “Each rule set can correspond to a particular transaction type and can specify, for that the transaction type, one or more context factors to be evaluated; evaluation criteria for evaluating the context factors, and one or more parameters.” | 对比文件明确公开了“上下文因素(context factors)”，其内容包括用户物理环境（如位置）、交易详情（如金额、类型、时间）、人口统计因素等，这些均属于“背景输入”。系统基于这些背景输入，通过规则集（其中包含评估标准）进行评估，从而动态确定所需的认证级别。规则集对应特定交易类型，实质上预定义了不同交易类型的风险评估标准（即预指派的风险等级）。因此，确定风险指数所依赖的“背景输入”和“预指派的风险等级”均被对比文件公开。 |
| **技术特征F：，且其中所述信任指数是基于所述一个或多个传感器输入来确定的**<br>《直接公开》 | [0038]-[0039] “For instance, in a noisy environment, the system 110 can give greater weight to a biometric face recognition mode of authentication and a lower weighting to a voice recognition mode of authentication. In an environment of low ambient light, the system 110 can give a greater weight to a biometric finger print recognition mode of authentication and a lower weighting to a face recognition mode of authentication.”<br>[0039] “Further, the rule set can specify sensitivities, e.g., thresholds, for satisfying the modes of authentication. For example, the rule set can specify a lower sensitivity for the face recognition mode of authentication based on the user's environmental factors, e.g., low light or bright light visibility. Similarly, the rule set can specify a lower sensitivity for a voice recognition mode of authentication based on the user's environmental factors, e.g., based on the user being in an environment with loud background noises.” | 对比文件公开了系统根据传感器输入（如环境噪声、环境光）来调整不同认证模式的权重或灵敏度（阈值）。在嘈杂环境中，语音识别模式的权重或置信度降低；在低光环境中，面部识别模式的灵敏度或置信度降低。这种根据传感器输入调整认证模式可靠性或适用性的过程，等同于基于传感器输入来确定或影响该验证过程的“信任指数”。因此，该特征被对比文件直接公开。 |
| **技术特征G：且其中所述背景输入包括所述移动装置的当前背景情境或用户数据或这两者**<br>《直接公开》 | [0035] “In some implementations, the context factors include human factors... a person's physical environment, e.g., location, network connectivity, or battery life remaining on the person's mobile device; ... transaction details, e.g., transaction amounts ... transaction type, ... timing of the transaction; and a geographic location of the transaction.” | 对比文件明确列举的上下文因素包括：用户的物理环境（如移动设备的位置、网络连接、电池电量），这属于“移动装置的当前背景情境”；以及交易详情（如金额、类型、时间）和人口统计因素等，这属于“用户数据”。因此，背景输入包含这两类信息已被直接公开。 |
| **技术特征H：以及执行所选择的验证过程。**<br>《直接公开》 | [0056] “Thus, based on the evaluation criteria, the system 160 selects an authentication method 170 that dynamically increases the level of security for authenticating the person 155 by requiring the person 155 to satisfy a face recognition mode of authentication and a fingerprint recognition mode of authentication, each mode determining whether the person's 155 face and fingerprints match those stored for the account used in the cash withdrawal.”<br>[0040] “The system 310 authenticates the user that requested performance of the transaction based on the determined one or more parameters for authenticating the user that requested performance of the transaction.” | 对比文件多次描述了系统执行所选择的认证方法（如面部识别、指纹识别）以验证用户。例如，系统160选择并要求用户满足面部和指纹识别模式，然后执行这些模式以进行匹配判断。这直接对应于“执行所选择的验证过程”。因此，该特征被直接公开。 |
| **技术特征I：其中，所述用户数据包括人口统计数据、交易数据或位置数据中的至少之一。**<br>《直接公开》 | [0035] “In some implementations, the context factors include human factors... transaction details, e.g., transaction amounts (e.g., a withdrawal amount), transaction type, e.g., a cash withdrawal, timing of the transaction; and a geographic location of the transaction.”<br>（注：human factors可涵盖人口统计数据） | 对比文件明确将“交易详情（transaction details）”如交易金额、类型、时间列为上下文因素，这属于“交易数据”。同时，“地理位置（geographic location）”属于“位置数据”。此外，“人的因素（human factors）”可以包括人口统计方面的信息。因此，用户数据包含人口统计数据、交易数据或位置数据中的至少之一已被直接公开。 |
| **技术特征J：其中，所述一个或多个传感器输入包括话音扫描、面部扫描或指纹扫描中的至少之一。**<br>《直接公开》 | [0038] “For instance, in a noisy environment, the system 110 can give greater weight to a biometric face recognition mode of authentication and a lower weighting to a voice recognition mode of authentication.”<br>[0056] “...requiring the person 155 to satisfy a face recognition mode of authentication and a fingerprint recognition mode of authentication...” | 对比文件明确将话音识别（voice recognition）、面部识别（face recognition）和指纹识别（fingerprint recognition）作为可用的生物特征认证模式。这些模式的实现依赖于相应的传感器输入（如麦克风、相机、指纹传感器）。因此，传感器输入包括话音扫描、面部扫描或指纹扫描中的至少之一已被直接公开。 |
| **技术特征K：其中，所述移动装置的当前背景情境包括与环境声、光或运动有关的背景信息。**<br>《直接公开》 | [0038]-[0039] “For instance, in a noisy environment... In an environment of low ambient light...”<br>[0039] “...lower sensitivity for the face recognition mode of authentication based on the user's environmental factors, e.g., low light or bright light visibility. Similarly, ... lower sensitivity for a voice recognition mode of authentication based on the user's environmental factors, e.g., based on the user being in an environment with loud background noises.” | 对比文件明确提到“嘈杂环境（noisy environment）”和“低环境光（low ambient light）”作为影响认证模式选择或灵敏度调整的环境因素。这直接对应于“环境声”和“光”有关的背景信息。虽然“运动”未在引用的典型例子中明确出现，但传感器设备列表中包含加速度计（[0058]），其可用于检测运动。本领域技术人员能够理解环境运动信息也属于背景情境的一部分。因此，该特征被直接公开。 |
| **技术特征L：其中验证过程是用户定义的。**<br>《隐含公开》 | [0034] “In some implementations, the rule sets are configured and provided by an organization (e.g., a bank).”<br>[0071] “In some implementations, a rule set is configured to specify, for certain types of context, that user authentication must be done in the cloud.”<br>[00122] “In some implementations, the division of processing between the mobile device 720 and the cloud service 715 is adjusted based on the user's 705 preferences.” | 对比文件指出规则集可由组织（如银行）配置和提供，并且处理分配可根据用户偏好调整。虽然未明确说明最终用户个人可以完全自定义验证过程集合，但本领域技术人员可以合理推断，在系统或服务提供商的框架下，用户可以拥有一定的定义权，例如选择注册特定的生物特征方式、设置个人偏好规则（如处理位置），或者服务提供商根据用户群体特征定义规则。这隐含了验证过程的确定可以包含用户定义的因素。因此，该特征被对比文件隐含公开。 |
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