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公开(公告)号：US10984457B2
公开(公告)日：2021-04-20
申请号：US11849210
申请日：2007-08-31
摘要： Embodiments of the present invention address deficiencies of the art in respect to privacy data management and provide a novel and non-obvious method, system and computer program product for trusted statement verification for data privacy. In one embodiment of the invention, a method for trusted statement verification for data privacy can be provided. The method can include deducing a claim from an attribute for personal data for an end user, receiving a request from a personal data consumer to vouch for an assertion based upon the attribute, comparing the assertion to the claim, and providing a voucher for the assertion to the personal data consumer on behalf of the end user if the claim supports the assertion without revealing the attribute to the personal data consumer.
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2.发明授权Method and system for hardware based program flow monitor for embedded software 有权用于嵌入式软件的基于硬件的程序流监视器的方法和系统公开(公告)号：US07861305B2
公开(公告)日：2010-12-28
申请号：US11672288
申请日：2007-02-07
申请人： Suzanne McIntosh , Daniel Brand , Matthew Kaplan , Paul A. Karger , Michael G. McIntosh , Elaine R. Palmer , Amitkumar M. Paradkar , David Toll , Samuel M. Weber
发明人： Suzanne McIntosh , Daniel Brand , Matthew Kaplan , Paul A. Karger , Michael G. McIntosh , Elaine R. Palmer , Amitkumar M. Paradkar , David Toll , Samuel M. Weber
IPC分类号： G06F12/14
CPC分类号： G06F11/28 , G06F21/563
摘要： A method for malware detection, wherein the method includes: utilizing a hardware based program flow monitor (PFM) for embedded software that employs a static analysis of program code; marrying the program code to addresses, while considering which central processing unit (CPU) is executing the program code; capturing an expected control flow of the program code, and storing the control flow as physical address pairs of leaders and followers (LEAD-FOLL pair) in a Metadata Store (MDS) within the PFM; monitoring control flow at runtime by the PFM; and comparing runtime control flow with the expected control flow.
摘要翻译： 一种用于恶意软件检测的方法，其中所述方法包括：利用基于硬件的程序流监视器（PFM）用于采用程序代码的静态分析的嵌入式软件; 将程序代码结合到地址，同时考虑哪个中央处理单元（CPU）正在执行程序代码; 捕获所述程序代码的预期控制流程，以及将所述控制流作为所述PFM中的元数据存储（MDS）中的领导者和跟随者的物理地址对（LEAD-FOLL对）存储; 通过PFM监控运行时的控制流程; 并将运行时控制流与预期控制流进行比较。
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公开(公告)号：US20090063289A1
公开(公告)日：2009-03-05
申请号：US11849210
申请日：2007-08-31
CPC分类号： G06Q30/06 , G06Q30/0601
摘要： Embodiments of the present invention address deficiencies of the art in respect to privacy data management and provide a novel and non-obvious method, system and computer program product for trusted statement verification for data privacy. In one embodiment of the invention, a method for trusted statement verification for data privacy can be provided. The method can include deducing a claim from an attribute for personal data for an end user, receiving a request from a personal data consumer to vouch for an assertion based upon the attribute, comparing the assertion to the claim, and providing a voucher for the assertion to the personal data consumer on behalf of the end user if the claim supports the assertion without revealing the attribute to the personal data consumer.
摘要翻译： 本发明的实施例解决了隐私数据管理方面的技术缺陷，并提供了一种用于数据隐私的可信语句验证的新颖且非显而易见的方法，系统和计算机程序产品。 在本发明的一个实施例中，可以提供用于数据隐私的可信语句验证的方法。 该方法可以包括从用于最终用户的个人数据的属性中推定权利要求，接收来自个人数据消费者的请求，以基于该属性来证明断言，将该断言与权利要求进行比较，以及为该断言提供凭证 如果索赔支持声明而不向个人数据消费者显示属性，则代表最终用户向个人数据消费者发送。
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4.发明申请METHOD AND SYSTEM FOR HARDWARE BASED PROGRAM FLOW MONITOR FOR EMBEDDED SOFTWARE 有权用于嵌入式软件的基于硬件的程序流程监控器的方法和系统公开(公告)号：US20080189530A1
公开(公告)日：2008-08-07
申请号：US11672288
申请日：2007-02-07
申请人： Suzanne McIntosh , Daniel Brand , Matthew Kaplan , Paul A. Karger , Michael G. McIntosh , Elaine R. Palmer , Amitkumar M. Paradkar , David Toll , Samuel M. Weber
发明人： Suzanne McIntosh , Daniel Brand , Matthew Kaplan , Paul A. Karger , Michael G. McIntosh , Elaine R. Palmer , Amitkumar M. Paradkar , David Toll , Samuel M. Weber
IPC分类号： G06F9/30
CPC分类号： G06F11/28 , G06F21/563
摘要： A method for malware detection, wherein the method includes: utilizing a hardware based program flow monitor (PFM) for embedded software that employs a static analysis of program code; marrying the program code to addresses, while considering which central processing unit (CPU) is executing the program code; capturing an expected control flow of the program code, and storing the control flow as physical address pairs of leaders and followers (LEAD-FOLL pair) in a Metadata Store (MDS) within the PFM; monitoring control flow at runtime by the PFM; and comparing runtime control flow with the expected control flow
摘要翻译： 一种用于恶意软件检测的方法，其中所述方法包括：利用基于硬件的程序流监视器（PFM）用于采用程序代码的静态分析的嵌入式软件; 将程序代码结合到地址，同时考虑哪个中央处理单元（CPU）正在执行程序代码; 捕获所述程序代码的预期控制流程，以及将所述控制流作为所述PFM中的元数据存储（MDS）中的领导者和跟随者的物理地址对（LEAD-FOLL对）存储; 通过PFM监控运行时的控制流程; 并将运行时控制流与预期控制流进行比较
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