公开(公告)号：US20130097697A1

公开(公告)日：2013-04-18

申请号：US13273841

申请日：2011-10-14

Applicant: Bin Benjamin Zhu ,  Guanbo Bao ,  Maowei Yang ,  Ning Xu

Inventor： Bin Benjamin Zhu ,  Guanbo Bao ,  Maowei Yang ,  Ning Xu

IPC: G06F21/00

CPC classification number: G06F21/31 ,  G06F21/36 ,  G06F2221/2103 ,  G06F2221/2117 ,  G06F2221/2133 ,  H04L63/083 ,  H04W12/00522

Abstract: A security module generates a random image having a plurality of password-element indicators therein. The random image is provided to a user. The user selects portions of the random image. The security module determines whether the selected portions of the random image correspond to a password for the user. The security module grants access if the selected portions of the random image correspond to the user's password. However, if the selected portions of the random image do not correspond to the user's password, the security module may generate another random image having a plurality of password-element indicators therein, wherein each of the random images are computationally de-correlated.

Abstract translation: 安全模块生成其中具有多个密码元素指示符的随机图像。 将随机图像提供给用户。 用户选择随机图像的部分。 安全模块确定随机图像的所选部分是否对应于用户的密码。 如果随机图像的所选部分对应于用户的密码，则安全模块授予访问权限。 然而，如果随机图像的选择部分不对应于用户的密码，则安全模块可以生成在其中具有多个密码元素指示符的另一个随机图像，其中每个随机图像在计算上是不相关的。

公开(公告)号：US08315964B2

公开(公告)日：2012-11-20

申请号：US12258991

申请日：2008-10-27

Applicant: Shipeng Li ,  Yang Yang ,  Bin Benjamin Zhu ,  Rui Guo ,  Linjun Yang

Inventor： Shipeng Li ,  Yang Yang ,  Bin Benjamin Zhu ,  Rui Guo ,  Linjun Yang

IPC: G06N5/00

CPC classification number: G06N5/022 ,  G06F2221/2133 ,  G06N3/12 ,  G06N3/126 ,  G06N5/04 ,  H04L63/1416

Abstract: Technologies for a human computation framework suitable for answering common sense questions that are difficult for computers to answer but easy for humans to answer. The technologies support solving general common sense problems without a priori knowledge of the problems; support for determining whether an answer is from a bot or human so as to screen out spurious answers from bots; support for distilling answers collected from human users to ensure high quality solutions to the questions asked; and support for preventing malicious elements in or out of the system from attacking other system elements or contaminating the solutions produced by the system, and preventing users from being compensated without contributing answers.

Abstract translation: 适用于人类计算框架的技术，适用于回答计算机难以回答但易于人类回答的常识问题。 这些技术支持解决普通常识问题，而无需事先知晓的问题; 支持确定答案是来自机器人还是人类，以便从机器人中筛选出错误的答案; 支持从人类用户收集的答案，以确保问题的高质量解决方案; 并且支持防止系统内部或外部的恶意元件攻击其他系统元件或污染系统产生的解决方案，并防止用户在没有贡献答案的情况下进行补偿。

公开(公告)号：US20120272302A1

公开(公告)日：2012-10-25

申请号：US13091964

申请日：2011-04-21

Applicant: Bin Benjamin Zhu ,  Qiang Dai

Inventor： Bin Benjamin Zhu ,  Qiang Dai

IPC: H04L9/32 ,  G06K9/34

CPC classification number: G06F21/36

Abstract: Techniques for generating a human user test for online applications or services may include splitting the visual objects in an image into multiple partial images, and forming one or more alignment positions. At each of the alignment positions, some of the visual objects appear recognizable while some bogus visual objects also appear to prevent robots from recognizing the alignment positions. A user is requested to find the multiple alignment positions to return recognizable visual objects. A system determines that the user is a human user if the recognizable visual objects input by the user match the visual objects in the image.

Abstract translation: 用于为在线应用或服务生成人用户测试的技术可以包括将图像中的视觉对象分割为多个部分图像，以及形成一个或多个对准位置。 在每个对准位置，一些视觉对象看起来可识别，而一些假的视觉对象也似乎防止机器人识别对准位置。 请求用户找到多个对齐位置以返回可识别的可视对象。 如果由用户输入的可识别视觉对象与图像中的视觉对象匹配，则系统确定用户是人类用户。

公开(公告)号：US08185476B2

公开(公告)日：2012-05-22

申请号：US11970161

申请日：2008-01-07

Applicant: Bin Benjamin Zhu ,  Min Feng

Inventor： Bin Benjamin Zhu ,  Min Feng

IPC: G06F21/00

CPC classification number: H04L63/0407 ,  G06F21/10 ,  G06F21/6245 ,  H04L9/0833 ,  H04L9/302 ,  H04L9/3073 ,  H04L9/3257 ,  H04L63/0442 ,  H04L63/126 ,  H04L2209/56 ,  H04L2209/603 ,  H04L2463/062 ,  H04L2463/101 ,  Y10S705/901 ,  Y10S705/902 ,  Y10S705/904 ,  Y10S705/908

Abstract: Technologies for a Consumer Privacy Digital Rights Management system based on stable partially blind signatures that enable a license server to provide licenses for delivery to users without knowing the corresponding digital contents that users access with the license. Therefore consumer privacy is protected during license acquisition. Further, if the client DRM module in the DRM system does not disclose any information about a user's digital content access, and the messages that the client DRM module sends out are in plain text enabling verification that the client DRM module is not disclosing such information, then consumer privacy is fully protected by the DRM system.

Abstract translation: 基于稳定的部分盲签名的消费者隐私数字版权管理系统的技术，使得许可证服务器能够在不知道用户使用许可证访问的相应数字内容的情况下，向用户提供许可证。 因此，许可证获取期间保护消费者的隐私。 此外，如果DRM系统中的客户端DRM模块没有透露关于用户的数字内容访问的任何信息，并且客户端DRM模块发送的消息是纯文本的，使得能够验证客户端DRM模块没有公开这样的信息， 那么消费者隐私就被DRM系统完全保护。

公开(公告)号：US20120110433A1

公开(公告)日：2012-05-03

申请号：US12914638

申请日：2010-10-28

Applicant: Aimin Pan ,  Bin Benjamin Zhu ,  Kaimin Zhang ,  Lu Wang

Inventor： Aimin Pan ,  Bin Benjamin Zhu ,  Kaimin Zhang ,  Lu Wang

IPC: G06F17/20

CPC classification number: G06F17/211

Abstract: Methods and systems for parallel Web page processing are usable to parallelize Web page document parsing, Web page layout calculations, Web page style formatting, and Web page script engine processing. Such parallelized parsers may be used to enhance Web page processing and exploit multi-core and multi-processor computing device resources. The parallelized script engine may be used to enhance Web page processing when independent scripting events exist in the Web page document. Additionally, the parallelized layout calculations and style formatting may be used to further enhance Web page processing by allowing multi-core and multi-processor computing devices to take advantage of their parallel processing abilities.

Abstract translation: 用于并行网页处理的方法和系统可用于并行化网页文档解析，网页布局计算，网页样式格式化和网页脚本引擎处理。 这种并行解析器可以用于增强网页处理并利用多核和多处理器计算设备资源。 并行脚本引擎可用于在网页文档中存在独立脚本事件时增强网页处理。 另外，并行布局计算和样式格式可以用于通过允许多核和多处理器计算设备利用其并行处理能力来进一步增强网页处理。

公开(公告)号：US09189746B2

公开(公告)日：2015-11-17

申请号：US13349306

申请日：2012-01-12

Applicant: Bin Benjamin Zhu ,  Fei Xue

Inventor： Bin Benjamin Zhu ,  Fei Xue

IPC: G06F21/00 ,  G06F15/18 ,  G06F15/16 ,  G06N99/00 ,  G06Q10/10 ,  H04L12/58 ,  G06F21/31 ,  G06F21/41 ,  G06F21/55

CPC classification number: G06N99/005 ,  G06F21/31 ,  G06F21/41 ,  G06F21/552 ,  G06F21/57 ,  G06F2221/2113 ,  G06F2221/2117 ,  G06Q10/107 ,  H04L51/12

Abstract: A trust level of an account is determined at least partly based on a degree of the memorability of an email address associated with the account. Additional features such as those based on the domain of the email address and those from the additional information such as name, phone number, and address associated with the account may also be used to determine the trust level of the account. A machine learning process may be used to learn a classification model based on one or more features that distinguish a malicious account from a benign account from training data. The classification model is used to determine a trust level of the account, and/or if the account is malicious or benign, and may be continuously improved by incrementally adapting or improving the model with new accounts.

Abstract translation: 至少部分地基于与帐户相关联的电子邮件地址的可记忆度来确定帐户的信任级别。 诸如那些基于电子邮件地址域的附加功能以及来自附加信息（例如姓名，电话号码和与该帐户相关联的地址）的功能也可用于确定该帐户的信任级别。 可以使用机器学习过程来基于将恶意帐户与良性帐户与训练数据区分开的一个或多个特征来学习分类模型。 分类模型用于确定帐户的信任级别和/或帐户是恶意的还是良性的，并且可以通过使用新帐户逐步适应或改进模型来不断地改进。

公开(公告)号：US09160528B2

公开(公告)日：2015-10-13

申请号：US13408875

申请日：2012-02-29

Applicant: Bin Benjamin Zhu ,  Min Feng

Inventor： Bin Benjamin Zhu ,  Min Feng

IPC: H04L9/00 ,  H04L9/08 ,  H04L29/06 ,  H04L9/32

CPC classification number: H04L63/0815 ,  H04L9/085 ,  H04L9/3218 ,  H04L9/3226 ,  H04L63/0435 ,  H04L63/083 ,  H04L63/10

Abstract: Technologies for distributed single sign-on operable to provide user access to a plurality of services via authentication to a single entity. The distributed single sign-on technologies provide a set of authentication servers and methods for privacy protection based on splitting secret, keys and user profiles into secure shares and periodically updating shares among the authentication servers without affecting the underlying secrets. The correctness of the received partial token or partial profiles can be verified with non-interactive zero-knowledge proofs.

Abstract translation: 用于分布式单点登录的技术可操作以通过认证向单个实体提供用户对多个服务的访问。 分布式单点登录技术提供了一套基于将秘密，密钥和用户配置文件分解为安全共享的认证服务器和隐私保护方法，并定期更新认证服务器之间的共享，而不会影响潜在的秘密。 可以使用非交互式零知识证明来验证所接收的部分令牌或部分简档的正确性。

公开(公告)号：US08521667B2

公开(公告)日：2013-08-27

申请号：US12969209

申请日：2010-12-15

Applicant: Bin Benjamin Zhu ,  Hyunsang Choi ,  Heejo Lee

Inventor： Bin Benjamin Zhu ,  Hyunsang Choi ,  Heejo Lee

IPC: G06F15/18 ,  G06F21/00

CPC classification number: G06F21/56 ,  H04L63/1408

Abstract: This document describes techniques for using features extracted from a URL to detect a malicious URL and categorize the malicious URL as one of a phishing URL, a spamming URL, a malware URL or a multi-type attack URL. The techniques employ one or more machine learning algorithms to train classification models using a set of training data which includes a known set of benign URLs and a known set of malicious URLs. The classification models are then employed to detect and/or categorize a malicious URL.

Abstract translation: 本文档描述了使用从URL提取的功能来检测恶意URL并将恶​​意URL分类为网络钓鱼URL，垃圾邮件URL，恶意软件URL或多类型攻击URL之一的技术。 该技术采用一种或多种机器学习算法来训练使用包括一组已知的良性URL和一组已知的恶意URL的一组训练数据的分类模型。 然后使用分类模型来检测和/或分类恶意URL。

公开(公告)号：US20120306769A1

公开(公告)日：2012-12-06

申请号：US13152272

申请日：2011-06-03

Applicant: Bin Benjamin Zhu ,  Maowei Yang ,  Xuyong Yang ,  Shipeng Li

Inventor： Bin Benjamin Zhu ,  Maowei Yang ,  Xuyong Yang ,  Shipeng Li

IPC: G06F3/041

CPC classification number: G06F3/04886 ,  G06F3/0233 ,  G06F3/041 ,  G06F3/04883 ,  G06F2203/04104 ,  G06F2203/04808

Abstract: This document describes tools associated with symbol entry control functions. In some implementations, the tools identify a first finger that is in tactile contact with a touch screen. The first finger can select a subset of symbols from a plurality of symbols that can be entered via the touch screen. The tools can also identify whether one or more other fingers are in concurrent tactile contact with the first finger on the touch screen. The tools can select an individual symbol from the subset based on whether the one or more other fingers are in concurrent tactile contact with the first finger on the touch screen.

Abstract translation: 本文档描述与符号输入控制功能相关的工具。 在一些实施方式中，工具识别与触摸屏触觉接触的第一手指。 第一手指可以从可以经由触摸屏输入的多个符号中选择符号子集。 工具还可以识别一个或多个其他手指是否与触摸屏上的第一手指同时触觉地接触。 所述工具可以基于所述一个或多个其他手指是否与所述触摸屏上的所述第一手指同时触觉地接触来从所述子集中选择单个符号。

公开(公告)号：US20120159588A1

公开(公告)日：2012-06-21

申请号：US13408875

申请日：2012-02-29

Applicant: Bin Benjamin Zhu ,  Min Feng

Inventor： Bin Benjamin Zhu ,  Min Feng

IPC: G06F21/00

CPC classification number: H04L63/0815 ,  H04L9/085 ,  H04L9/3218 ,  H04L9/3226 ,  H04L63/0435 ,  H04L63/083 ,  H04L63/10

Abstract: Technologies for distributed single sign-on operable to provide user access to a plurality of services via authentication to a single entity. The distributed single sign-on technologies provide a set of authentication servers and methods for privacy protection based on splitting secret, keys and user profiles into secure shares and periodically updating shares among the authentication servers without affecting the underlying secrets. The correctness of the received partial token or partial profiles can be verified with non-interactive zero-knowledge proofs.

Abstract translation: 用于分布式单点登录的技术可操作以通过认证向单个实体提供用户对多个服务的访问。 分布式单点登录技术提供了一套基于将秘密，密钥和用户配置文件分解为安全共享的认证服务器和隐私保护方法，并定期更新认证服务器之间的共享，而不会影响潜在的秘密。 可以使用非交互式零知识证明来验证所接收的部分令牌或部分简档的正确性。