Digital weapons factory and digital operations center for producing, deploying, assessing, and managing digital defects
    11.
    发明授权
    Digital weapons factory and digital operations center for producing, deploying, assessing, and managing digital defects 有权
    数字武器工厂和数字化操作中心,用于生产,部署,评估和管理数字缺陷

    公开(公告)号:US09544326B2

    公开(公告)日:2017-01-10

    申请号:US14600880

    申请日:2015-01-20

    CPC classification number: H04L63/1433 F41H11/00 H04L63/1416

    Abstract: A method of rapidly producing a new cyber response tool (e.g., in near-real-time) by matching vulnerabilities of enemy threats (e.g., a missile and/or a tank) to corresponding portions of other response tools that effectively exploit the matched vulnerability. An iterative framework may be utilized to repeatedly prioritize a set of cyber response tools based on a corresponding probability of success. For example, a computer or computer network may implement the iterative framework to carry out the probability computation and corresponding cyber response tool prioritization. If a total probability of success is below a given threshold (e.g., 95%), then creation of one or more new cyber response tools may be initiated. The probability of success may be a function of time (e.g., ten minutes before an expected launch) and/or a function of a phase of a lifecycle of the enemy threat (e.g., a launch phase).

    Abstract translation: 通过将敌方威胁(例如导弹和/或坦克)的脆弱性与有效利用匹配漏洞的其他响应工具的相应部分进行匹配,快速生成新的网络应答工具(例如,实时) 。 可以使用迭代框架来基于相应的成功概率来重复地对一组网络响应工具进行优先级排序。 例如,计算机或计算机网络可以实施迭代框架来执行概率计算和相应的网络响应工具优先级。 如果总成功概率低于给定阈值(例如,95%),则可以启动一个或多个新的网络应答工具的创建。 成功的概率可以是时间的函数(例如,在预期发射之前十分钟)和/或敌方威胁的生命周期阶段的功能(例如,发射阶段)。

    Resource allocating in a network
    12.
    发明授权
    Resource allocating in a network 有权
    网络资源分配

    公开(公告)号:US09537789B2

    公开(公告)日:2017-01-03

    申请号:US14529850

    申请日:2014-10-31

    CPC classification number: H04L47/762 H04L45/30

    Abstract: In one aspect, a method includes receiving, at a first node in a network, a resource reservation request from a second node in the network, determining, at the first node, if there is another node in the network that can be used to reach a destination and meet the resource reservation request and notifying the second node a result of the determining.

    Abstract translation: 一方面,一种方法包括在网络的第一节点处从网络中的第二节点接收资源预留请求,在第一节点处确定网络中是否存在可用于到达的另一个节点 目的地并且满足资源预留请求并且通知第二节点确定的结果。

    COURSE OF ACTION SUPPORT TECHNOLOGY ARCHITECTURES

    公开(公告)号:US20250124251A1

    公开(公告)日:2025-04-17

    申请号:US18487755

    申请日:2023-10-16

    Abstract: Systems, devices, methods, and computer-readable media for course of action (COA) analysis and execution. A method can include receiving COA data, coordinating, by an orchestrator service, simulation of performing COAs associated with the COA data, generating a graphical view of the simulation of the COAs including scores associated with each COA, implementing a COA of the COAs selected by the commander, receiving, from multiple applications information regarding a state of executing the COA, and providing a graphical view of the state of executing the COA including an overall map of a geographical region in which the COA is implemented, the graphical view including a dynamic location of the threat and threat mitigation activities, and a dynamic view of the LOS updated as the COA is implemented.

    OBJECT RECOGNITION AND DETECTION USING REINFORCEMENT LEARNING

    公开(公告)号:US20210271703A1

    公开(公告)日:2021-09-02

    申请号:US17038983

    申请日:2020-09-30

    Abstract: Discussed generally are techniques for managing operation of programs in a sequential order. A method can include receiving a query for an image, the query indicating characteristics of the image, selecting a chain of algorithms configured to identify the image based on the characteristics, operating an algorithm of the selected chain of algorithms that operate in increased fidelity order on an input to produce a first result, operating a ground truth algorithm on the input to generate a second result, comparing the first and second results to determine a probability of correctness (Pc) and confidence interval (CI) for the algorithm, and altering the chain of algorithms based on the determined Pc and CI.

    COMPUTER ARCHITECTURE FOR MULTI-DOMAIN PROBABILITY ASSESSMENT CAPABILITY FOR COURSE OF ACTION ANALYSIS

    公开(公告)号:US20210149986A1

    公开(公告)日:2021-05-20

    申请号:US16684948

    申请日:2019-11-15

    Abstract: A computing machine stores representations of a plurality of assets. The computing machine receives a representation of a course of action (COA), the COA making use of all or a subset of the plurality of assets, a representation of movement of the all or the subset of the plurality of assets across time, and a goal. The computing machine identifies one or more mission phases and/or activities in the COA and one or more assets or asset pairings for use in each mission phase and/or activity. The computing machine computes a set of values for a given mission phase and/or activity. The computing machine logs the computed set of values. The computing machine stores metrics representing the computed set of values and the one or more mission phases and/or activities in the COA. The metrics are used to verify the results of the computations.

    DIGITAL WEAPONS FACTORY AND DIGITAL OPERATIONS CENTER FOR PRODUCING, DEPLOYING, ASSESSING, AND MANAGING DIGITAL DEFECTS
    18.
    发明申请
    DIGITAL WEAPONS FACTORY AND DIGITAL OPERATIONS CENTER FOR PRODUCING, DEPLOYING, ASSESSING, AND MANAGING DIGITAL DEFECTS 有权
    数字武器工厂和数字运营中心生产,部署,评估和管理数字缺陷

    公开(公告)号:US20160269435A1

    公开(公告)日:2016-09-15

    申请号:US14600880

    申请日:2015-01-20

    CPC classification number: H04L63/1433 F41H11/00 H04L63/1416

    Abstract: A method of rapidly producing a new cyber response tool (e.g., in near-real-time) by matching vulnerabilities of enemy threats (e.g., a missile and/or a tank) to corresponding portions of other response tools that effectively exploit the matched vulnerability. An iterative framework may be utilized to repeatedly prioritize a set of cyber response tools based on a corresponding probability of success. For example, a computer or computer network may implement the iterative framework to carry out the probability computation and corresponding cyber response tool prioritization. If a total probability of success is below a given threshold (e.g., 95%), then creation of one or more new cyber response tools may be initiated. The probability of success may be a function of time (e.g., ten minutes before an expected launch) and/or a function of a phase of a lifecycle of the enemy threat (e.g., a launch phase).

    Abstract translation: 通过将敌方威胁(例如导弹和/或坦克)的脆弱性与有效利用匹配漏洞的其他响应工具的相应部分进行匹配,快速生成新的网络应答工具(例如,实时) 。 可以使用迭代框架来基于相应的成功概率来重复地对一组网络响应工具进行优先级排序。 例如,计算机或计算机网络可以实施迭代框架来执行概率计算和相应的网络响应工具优先级。 如果总成功概率低于给定阈值(例如,95%),则可以启动一个或多个新的网络应答工具的创建。 成功的概率可以是时间的函数(例如,在预期发射之前十分钟)和/或敌方威胁的生命周期阶段的功能(例如,发射阶段)。

    MISSION COMPONENT EVALUATION AND RESPONSE ARCHITECTURE
    19.
    发明申请
    MISSION COMPONENT EVALUATION AND RESPONSE ARCHITECTURE 审中-公开
    任务组件评估和响应架构

    公开(公告)号:US20150025927A1

    公开(公告)日:2015-01-22

    申请号:US13943065

    申请日:2013-07-16

    CPC classification number: G06Q10/063112

    Abstract: This document discusses, among other things, apparatus and methods for context-aware mission management. In an example, a system can include a processing center and a plurality of mobile devices. The processing center can be configured to receive one or more mission objectives for one or more mission stages, and to receive information from a plurality of sources, the processing center including a data broker reasoner (DBR) configured to compare the information to the one or more mission objectives and to provide role-based task information for accomplishing the one or more mission objectives. The plurality of mobile devices can be configured to wirelessly communicate with the processing center, to receive login information, to register with the processing center using the login information and to display a portion of the role-based task information associated with the login information.

    Abstract translation: 本文件尤其讨论了用于情境感知任务管理的设备和方法。 在一个示例中,系统可以包括处理中心和多个移动设备。 处理中心可以被配置为接收一个或多个任务阶段的一个或多个任务目标,并且从多个源接收信息,所述处理中心包括数据代理推理器(DBR),所述数据代理推理器被配置为将所述信息与所述一个或多个 更多的任务目标,并提供基于角色的任务信息,以实现一个或多个任务目标。 多个移动设备可以被配置为与处理中心进行无线通信,接收登录信息,使用登录信息向处理中心注册,并显示与登录信息相关联的基于角色的任务信息的一部分。

    MACHINE LEARNING-ASSISTED MULTI-DOMAIN PLANNING

    公开(公告)号:US20230132315A1

    公开(公告)日:2023-04-27

    申请号:US17508450

    申请日:2021-10-22

    Abstract: Techniques for machine learning-assisted multi-domain planning are disclosed, including: receiving first situational data from a first domain and second situational data from a second domain; receiving first user input indicating an objective; applying at least the first situational data, the second situational data, and the objective to a machine learning model, to obtain one or more suggested courses of action for satisfying the objective using assets selected from a plurality of assets available in the first domain and the second domain; and presenting the one or more suggested courses of action in a graphical user interface.

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