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1. 发明授权

US09525696B2 Systems and methods for processing data flows 有权
公开(公告)号：US09525696B2
公开(公告)日：2016-12-20
申请号：US13416647
申请日：2012-03-09
申请人： Harsh Kapoor , Moisey Akerman , Stephen D. Justus , John C. Ferguson , Yevgeny Korsunsky , Paul S. Gallo , Charles Ching Lee , Timothy M. Martin , Chunsheng Fu , Weidong Xu
发明人： Harsh Kapoor , Moisey Akerman , Stephen D. Justus , John C. Ferguson , Yevgeny Korsunsky , Paul S. Gallo , Charles Ching Lee , Timothy M. Martin , Chunsheng Fu , Weidong Xu
IPC分类号： G06F17/00 , H04L29/06 , G06N3/08
CPC分类号： H04L63/1425 , G06N3/088 , H04L41/0866 , H04L63/1416 , H04L63/20 , H04L67/306
摘要： A flow processing facility, which uses a set of artificial neurons for pattern recognition, such as a self-organizing map, in order to provide security and protection to a computer or computer system supports unified threat management based at least in part on patterns relevant to a variety of types of threats that relate to computer systems, including computer networks. Flow processing for switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security. A flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps. Exposing threats and intrusions within packet payload at or near real-time rates enhances network security from both external and internal sources while ensuring security policy is rigorously applied to data and system resources. Intrusion Detection and Protection (IDP) is provided by a flow processing facility that processes a data flow to address patterns relevant to a variety of types of network and data integrity threats that relate to computer systems, including computer networks.

2. 发明申请

US20120017262A1 SYSTEMS AND METHODS FOR PROCESSING DATA FLOWS 有权
公开(公告)号：US20120017262A1
公开(公告)日：2012-01-19
申请号：US13216739
申请日：2011-08-24
申请人： Harsh Kapoor , Moisey Akerman , Stephen D. Justus , John C. Ferguson , Yevgeny Korsunsky , Paul S. Gallo , Charles Ching Lee , Timothy M. Martin , Chunsheng Fu , Weidong Xu
发明人： Harsh Kapoor , Moisey Akerman , Stephen D. Justus , John C. Ferguson , Yevgeny Korsunsky , Paul S. Gallo , Charles Ching Lee , Timothy M. Martin , Chunsheng Fu , Weidong Xu
IPC分类号： G06F21/00 , G06F17/00
CPC分类号： H04L63/145 , G06F9/505 , G06F21/55 , G06F21/577 , G06N3/0472 , H04L29/06 , H04L43/026 , H04L63/0227 , H04L63/14 , H04L63/1408 , H04L63/1416 , H04L63/1425 , H04L63/1441 , H04L63/1483 , H04L63/1491 , H04L63/164 , H04L63/166 , H04L67/10 , H04L67/306 , H04L67/325 , H04L67/327 , H04L67/34 , H04L69/329 , H04L2463/141
摘要： A flow processing facility, which uses a set of artificial neurons for pattern recognition, such as a self-organizing map, in order to provide security and protection to a computer or computer system supports unified threat management based at least in part on patterns relevant to a variety of types of threats that relate to computer systems, including computer networks. Flow processing for switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security. A flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps. Exposing threats and intrusions within packet payload at or near real-time rates enhances network security from both external and internal sources while ensuring security policy is rigorously applied to data and system resources. Intrusion Detection and Protection (IDP) is provided by a flow processing facility that processes a data flow to address patterns relevant to a variety of types of network and data integrity threats that relate to computer systems, including computer networks.

3. 发明授权

US08046465B2 Flow scheduling for network application apparatus 有权
标题翻译：网络应用设备的流调度
公开(公告)号：US08046465B2
公开(公告)日：2011-10-25
申请号：US11174181
申请日：2005-07-01
申请人： John C. Ferguson , Yevgeny Korsunsky
发明人： John C. Ferguson , Yevgeny Korsunsky
IPC分类号： G06F15/173
CPC分类号： H04L63/20 , G06F9/5027 , G06F9/5033 , G06F9/505 , G06F9/5055 , H04L29/06 , H04L63/10 , H04L63/1416 , H04L67/10 , H04L67/306 , H04L67/325 , H04L67/327 , H04L67/34 , H04L69/329
摘要： A method and system for distributing flows between a multiple processors. The flows can be received from an external source such as a network, by a front-end processor that recognizes the flow and the associated request, and identifies at least one internal applications processor to process the request/flow. The front-end processor utilizes a flow scheduling vector related to the identified applications processor(s), and the flow scheduling vector can be based on intrinsic data from the applications processor(s) that can include CPU utilization, memory utilization, packet loss, and queue length or buffer occupation. In some embodiments, applications processors can be understood to belong to a group, wherein applications processors within a group can be configured identically. A flow schedule vector can be computed for the different applications processor groups. In some embodiments, a control processor can collect the intrinsic applications processor data, compute the flow scheduling vectors, and transfer the flow scheduling vectors to the front-end processor.
摘要翻译：一种用于在多个处理器之间分配流的方法和系统。可以从诸如网络的外部源，由识别流程和相关联的请求的前端处理器接收流，并且识别至少一个内部应用处理器来处理请求/流。前端处理器利用与所识别的应用处理器相关的流调度向量，并且流调度向量可以基于来自应用处理器的固有数据，其可以包括CPU利用率，存储器利用率，分组丢失，队列长度或缓冲区占用。在一些实施例中，应用处理器可以被理解为属于一个组，其中组内的应用处理器可以被相同地配置。可以为不同的应用处理器组计算流程调度向量。在一些实施例中，控制处理器可以收集本征应用处理器数据，计算流调度向量，并将流调度向量传送到前端处理器。

4. 发明授权

US06854337B1 Apparatus and method for measuring the mass of vegetation or fruit supported on a trellis 失效
标题翻译：用于测量网格上支撑的植被或水果质量的装置和方法
公开(公告)号：US06854337B1
公开(公告)日：2005-02-15
申请号：US10635978
申请日：2003-08-07
申请人： Julie M. Tarara , John C. Ferguson , Francis J. Pierce , Marvin J. Pitts , Gary M. Hyde , Robert L. Wample , Andre L. Baritelle
发明人： Julie M. Tarara , John C. Ferguson , Francis J. Pierce , Marvin J. Pitts , Gary M. Hyde , Robert L. Wample , Andre L. Baritelle
IPC分类号： A01G1/00 , A01G17/06 , G01G19/14 , G01N3/08
CPC分类号： G01G19/14 , A01G2/00 , A01G17/06 , A01G2017/065
摘要： The present disclosure concerns apparatus and methods useful in estimating crop yields of plants that are supported on a trellis. According to one aspect, a method for measuring the mass of trellised plant structures includes measuring the tension of a support wire of the trellis structure on which the plant structures are supported, such as with a load cell placed in-line with the support wire. The tension of the support wire is converted into the mass of new plant growth supported on the support wire, using, for example, an empirically derived algorithm specific to the trellis structure.
摘要翻译：本公开涉及用于估计支撑在格子上的植物的作物产量的装置和方法。根据一个方面，一种用于测量格栅植物结构的质量的方法包括测量支撑植物结构的网状结构的支撑线的张力，例如与放置在支撑线上的负载单元一起放置。使用例如特定于网格结构的经验导出的算法将支撑线的张力转换成支撑在支撑线上的新植物生长的质量。

5. 发明授权

US08135657B2 Systems and methods for processing data flows 有权
标题翻译：用于处理数据流的系统和方法
公开(公告)号：US08135657B2
公开(公告)日：2012-03-13
申请号：US13216739
申请日：2011-08-24
申请人： Harsh Kapoor , Moisey Akerman , Stephen D. Justus , John C. Ferguson , Yevgeny Korsunsky , Paul S. Gallo , Charles Ching Lee , Timothy M. Martin , Chunsheng Fu , Weidong Xu
发明人： Harsh Kapoor , Moisey Akerman , Stephen D. Justus , John C. Ferguson , Yevgeny Korsunsky , Paul S. Gallo , Charles Ching Lee , Timothy M. Martin , Chunsheng Fu , Weidong Xu
IPC分类号： G06F17/00
CPC分类号： H04L63/145 , G06F9/505 , G06F21/55 , G06F21/577 , G06N3/0472 , H04L29/06 , H04L43/026 , H04L63/0227 , H04L63/14 , H04L63/1408 , H04L63/1416 , H04L63/1425 , H04L63/1441 , H04L63/1483 , H04L63/1491 , H04L63/164 , H04L63/166 , H04L67/10 , H04L67/306 , H04L67/325 , H04L67/327 , H04L67/34 , H04L69/329 , H04L2463/141
摘要： A flow processing facility, which uses a set of artificial neurons for pattern recognition, such as a self-organizing map, in order to provide security and protection to a computer or computer system supports unified threat management based at least in part on patterns relevant to a variety of types of threats that relate to computer systems, including computer networks. Flow processing for switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security. A flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps. Exposing threats and intrusions within packet payload at or near real-time rates enhances network security from both external and internal sources while ensuring security policy is rigorously applied to data and system resources. Intrusion Detection and Protection (IDP) is provided by a flow processing facility that processes a data flow to address patterns relevant to a variety of types of network and data integrity threats that relate to computer systems, including computer networks.
摘要翻译：使用一组用于模式识别的人造神经元（例如自组织图）以便向计算机或计算机系统提供安全性和保护的流程处理设备至少部分地基于与与计算机系统（包括计算机网络）相关的各种类型的威胁。用于交换，安全和其他网络应用程序的流程处理（包括处理数据流以处理与各种条件相关的模式）的设施针对内部网络安全性，虚拟化和Web连接安全性。用于检查网络流量包的有效载荷的流处理设备通过应用基于正则表达式匹配和自组织映射的内容匹配和行为异常检测技术来检测IP堆栈的可访问层的安全威胁和入侵。在实时速率或接近实时速率的情况下，在数据包有效载荷中暴露威胁和入侵，从而确保安全策略严格应用于数据和系统资源，从而提高了外部和内部来源的网络安全性。入侵检测和保护（IDP）由处理数据流的流处理设备提供，以处理与包括计算机网络在内的计算机系统相关的各种类型的网络和数据完整性威胁相关的模式。

6. 发明授权

US07979368B2 Systems and methods for processing data flows 有权
标题翻译：用于处理数据流的系统和方法
公开(公告)号：US07979368B2
公开(公告)日：2011-07-12
申请号：US11926307
申请日：2007-10-29
申请人： Harsh Kapoor , Moisey Akerman , Stephen D. Justus , John C. Ferguson , Yevgeny Korsunsky , Paul S. Gallo , Charles Ching Lee , Timothy M. Martin , Chunsheng Fu , Weidong Xu
发明人： Harsh Kapoor , Moisey Akerman , Stephen D. Justus , John C. Ferguson , Yevgeny Korsunsky , Paul S. Gallo , Charles Ching Lee , Timothy M. Martin , Chunsheng Fu , Weidong Xu
IPC分类号： G06N5/00
CPC分类号： H04L63/1441 , G06F21/55 , H04L63/14 , H04L63/1425 , H04L2463/141
摘要： A flow processing facility, which uses a set of artificial neurons for pattern recognition, such as a self-organizing map, in order to provide security and protection to a computer or computer system supports unified threat management based at least in part on patterns relevant to a variety of types of threats that relate to computer systems, including computer networks. Flow processing for switching, security, and other network applications, including a facility that processes a data flow to address patterns relevant to a variety of conditions are directed at internal network security, virtualization, and web connection security. A flow processing facility for inspecting payloads of network traffic packets detects security threats and intrusions across accessible layers of the IP-stack by applying content matching and behavioral anomaly detection techniques based on regular expression matching and self-organizing maps. Exposing threats and intrusions within packet payload at or near real-time rates enhances network security from both external and internal sources while ensuring security policy is rigorously applied to data and system resources. Intrusion Detection and Protection (IDP) is provided by a flow processing facility that processes a data flow to address patterns relevant to a variety of types of network and data integrity threats that relate to computer systems, including computer networks.
摘要翻译：使用一组用于模式识别的人造神经元（例如自组织图）以便向计算机或计算机系统提供安全性和保护的流程处理设备至少部分地基于与与计算机系统（包括计算机网络）相关的各种类型的威胁。用于交换，安全和其他网络应用的流处理，包括处理数据流以处理与各种条件相关的模式的设施，针对内部网络安全性，虚拟化和Web连接安全性。用于检查网络流量包的有效载荷的流处理设施通过应用基于正则表达式匹配和自组织映射的内容匹配和行为异常检测技术来检测IP堆栈的可访问层的安全威胁和入侵。在实时速率或接近实时速率的情况下，在数据包有效载荷中暴露威胁和入侵，从而确保安全策略严格应用于数据和系统资源，从而提高了外部和内部来源的网络安全性。入侵检测和保护（IDP）由处理数据流的流处理设备提供，以处理与包括计算机网络在内的计算机系统相关的各种类型的网络和数据完整性威胁相关的模式。

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