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1. 发明授权

US08266439B2 Integrity verification of pseudonymized documents 有权
标题翻译：假名文件的完整性验证
公开(公告)号：US08266439B2
公开(公告)日：2012-09-11
申请号：US11854413
申请日：2007-09-12
申请人： Stuart Haber , William G. Horne , Tomas Sander , Danfeng Yao
发明人： Stuart Haber , William G. Horne , Tomas Sander , Danfeng Yao
IPC分类号： H04L9/32 , H04L29/06
CPC分类号： G06F21/6254
摘要： One or more methods of generating a pseudonymizable document are described. A method comprises receiving a set of subdocuments and generating a first set of random values wherein each subdocument in the document corresponds to a first set random value. A second set of values is generated based on a subdocument and a corresponding value of the first set random value. A set of pseudonyms is generated wherein each subdocument in the document corresponds to at least one pseudonym of the pseudonym set. A third set of values is generated based on the second set of values and the pseudonym set and a summary value is generated based on the third set of values.
摘要翻译：描述了一种或多种生成可化学文献的方法。一种方法包括接收一组子文档并生成第一组随机值，其中文档中的每个子文档对应于第一组随机值。基于子文档和第一组随机值的相应值生成第二组值。生成一组假名，其中文档中的每个子文档对应于假名集的至少一个假名。基于第二组值和假名集合生成第三组值，并且基于第三组值生成汇总值。

2. 发明授权

US08763127B2 Systems and method for malware detection 有权
标题翻译：用于恶意软件检测的系统和方法
公开(公告)号：US08763127B2
公开(公告)日：2014-06-24
申请号：US13255567
申请日：2010-03-13
申请人： Danfeng Yao , Deian Stefan , Chehai Wu
发明人： Danfeng Yao , Deian Stefan , Chehai Wu
IPC分类号： G06F21/00 , G06F21/56
CPC分类号： H04L63/145 , G06F21/316 , G06F21/32 , G06F21/566 , G06F2221/2133
摘要： A system and method for distinguishing human input events from malware-generated events includes one or more central processing units (CPUs), one or more input devices and memory. The memory includes program code that when executed by the CPU causes the CPU to obtain a first set of input events from a user utilizing the input device. The first input events are used to obtain or derive a feature indicative of the user, such as a multi-dimensional feature vector as provided by a support vector machine. Second input events are then obtained, and the second input events are classified against the feature to determine if either the user or malware initiated the second input events.
摘要翻译：用于区分人类输入事件和恶意软件产生的事件的系统和方法包括一个或多个中央处理单元（CPU），一个或多个输入设备和存储器。存储器包括程序代码，当CPU执行时，CPU使用输入设备从使用者获取第一组输入事件。第一输入事件用于获得或导出指示用户的特征，例如由支持向量机提供的多维特征向量。然后获得第二输入事件，并且将第二输入事件与特征分类，以确定用户或恶意软件是否启动第二输入事件。

3. 发明授权

US09888030B2 Detection of stealthy malware activities with traffic causality and scalable triggering relation discovery 有权
公开(公告)号：US09888030B2
公开(公告)日：2018-02-06
申请号：US14267422
申请日：2014-05-01
申请人： Danfeng Yao , Hao Zhang
发明人： Danfeng Yao , Hao Zhang
IPC分类号： H04L29/06 , G06F21/31 , G06F21/32 , G06F21/56
CPC分类号： H04L63/145 , G06F21/316 , G06F21/32 , G06F21/566 , G06F2221/2133
摘要： A computer system for distinguishing user-initiated network traffic from malware-initiated network traffic comprising at least one central processing unit (CPU) and a memory communicatively coupled to the CPU. The memory includes a program code executable by the CPU to monitor individual network events to determine for an individual network event whether the event has a legitimate root-trigger. Malware-initiated traffic is identified as an individual network event that does not have a legitimate root-trigger.

4. 发明申请

US20110320816A1 SYSTEMS AND METHOD FOR MALWARE DETECTION 有权
标题翻译：用于恶意软件检测的系统和方法
公开(公告)号：US20110320816A1
公开(公告)日：2011-12-29
申请号：US13255567
申请日：2010-03-13
申请人： Danfeng Yao , Deian Stefan , Chehai Wu
发明人： Danfeng Yao , Deian Stefan , Chehai Wu
IPC分类号： G06F21/00 , G06F15/16 , G06F11/30 , H04L9/32
CPC分类号： H04L63/145 , G06F21/316 , G06F21/32 , G06F21/566 , G06F2221/2133
摘要： A system and method for distinguishing human input events from malware-generated events includes one or more central processing units (CPUs), one or more input devices and memory. The memory includes program code that when executed by the CPU causes the CPU to obtain a first set of input events from a user utilizing the input device. The first input events are used to obtain or derive a feature indicative of the user, such as a multi-dimensional feature vector as provided by a support vector machine. Second input events are then obtained, and the second input events are classified against the feature to determine if either the user or malware initiated the second input events.
摘要翻译：用于区分人类输入事件和恶意软件产生的事件的系统和方法包括一个或多个中央处理单元（CPU），一个或多个输入设备和存储器。存储器包括程序代码，当CPU执行时，CPU使用输入设备从使用者获取第一组输入事件。第一输入事件用于获得或导出指示用户的特征，例如由支持向量机提供的多维特征向量。然后获得第二输入事件，并且将第二输入事件与特征分类，以确定用户或恶意软件是否启动第二输入事件。

5. 发明申请

US20140310808A1 Detection of Stealthy Malware Activities with Traffic Causality and Scalable Triggering Relation Discovery 有权
标题翻译：检测具有交通因果关系和可扩展触发关系发现的隐形恶意软件活动
公开(公告)号：US20140310808A1
公开(公告)日：2014-10-16
申请号：US14267422
申请日：2014-05-01
申请人： Danfeng Yao , Hao Zhang
发明人： Danfeng Yao , Hao Zhang
IPC分类号： H04L29/06
CPC分类号： H04L63/145 , G06F21/316 , G06F21/32 , G06F21/566 , G06F2221/2133
摘要： A computer system for distinguishing user-initiated network traffic from malware-initiated network traffic comprising at least one central processing unit (CPU) and a memory communicatively coupled to the CPU. The memory includes a program code executable by the CPU to monitor individual network events to determine for an individual network event whether the event has a legitimate root-trigger. Malware-initiated traffic is identified as an individual network event that does not have a legitimate root-trigger.
摘要翻译：一种用于将用户发起的网络流量与恶意软件发起的网络流量区分开的计算机系统，包括至少一个中央处理单元（CPU）和通信地耦合到CPU的存储器。存储器包括可由CPU执行的程序代码，用于监视各个网络事件以确定各个网络事件该事件是否具有合法的根触发。恶意软件启动的流量被标识为没有合法根触发器的单个网络事件。

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