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    Systems and methods for unified hierarchical cybersecurity
    12.
    发明授权
    Systems and methods for unified hierarchical cybersecurity 有权

    公开(公告)号：US11128654B1

    公开(公告)日：2021-09-21

    申请号：US16267304

    申请日：2019-02-04

    Applicant: ARCHITECTURE TECHNOLOGY CORPORATION

    Inventor： Robert Joyce ,  Scott Aloisio

    IPC: H04L9/00 ,  H04L29/06 ,  G06F16/835 ,  G06F16/955

    Abstract: Disclosed herein are embodiments of systems, methods, and products comprise an analytic server, which improves the cybersecurity of a unified system comprising a plurality of sub-systems. The analytic server may instantiate a sub attack tree for each network sub-system within the unified system of distributed network infrastructure. The analytic server may access the sub attack trees of the network sub-systems based on the corresponding identifiers. The analytic server may build a high-level attack tree of the unified system by aggregating the sub attack tree of each sub-system. The analytic server may determine how the interconnection of the plurality of network sub-systems may affect the unified system security. The analytic server may update one or more nodes of the attack tree to reflect the changes produced from the interconnection. The analytic server may build the attack tree based on a set of aggregation rules.

    System for cyber-attack simulation using artificial intelligence modeling
    13.
    发明授权
    System for cyber-attack simulation using artificial intelligence modeling 有权

    公开(公告)号：US12032681B1

    公开(公告)日：2024-07-09

    申请号：US17896974

    申请日：2022-08-26

    Applicant: Architecture Technology Corporation

    Inventor： Matthew Donovan ,  Paul Nicotera ,  Dahyun Hollister ,  Robert Joyce ,  Judson Powers

    IPC: G06F21/53 ,  G06F21/55 ,  G06N3/04 ,  H04L9/40

    CPC classification number: G06F21/53 ,  G06F21/552 ,  G06N3/04 ,  H04L63/1458

    Abstract: The methods and systems disclosed herein generally relate to automated execution and evaluation of computer network training exercises, such as in a virtual environment. A server executes a first attack action by a virtual attack machine against a virtual target machine based on a cyber-attack scenario, wherein the virtual target machine is configured to be controlled by the user computer. The server receives a user response to the first attack action, determines, using a decision tree, a first proposed attack action based on the user response, and executes an artificial intelligence model to determine a second proposed attack action based on the user response. The server selects a subsequent attack action from the first proposed attack action and the second proposed attack action and executes the subsequent attack action by the virtual attack machine against the virtual target machine.

    Systems and methods for malware detection and mitigation
    14.
    发明授权
    Systems and methods for malware detection and mitigation 有权

    公开(公告)号：US11451581B2

    公开(公告)日：2022-09-20

    申请号：US16417531

    申请日：2019-05-20

    Applicant: ARCHITECTURE TECHNOLOGY CORPORATION

    Inventor： Joseph Sirianni ,  Judson Powers ,  Robert Joyce

    IPC: H04L29/06 ,  H04L9/40 ,  G06N3/04 ,  G06N20/10 ,  G06N3/08

    Abstract: Disclosed herein are embodiments of systems, methods, and products comprise an analytic server, which detects and defends against malware in-flight regardless of the specific nature and methodology of the underlying attack. The analytic server learns the system's normal behavior during testing and evaluation phase and trains a machine-learning model based on the normal behavior. The analytic server monitors the system behavior during runtime comprising the runtime behavior of each sub-system of the system. The analytic server executes the machine-learning model and compares the system runtime behavior with the normal behavior to identify anomalous behavior. The analytic server executes one or more mitigation instructions to mitigate malware. Based on multiple available options for mitigating malware, the analytic server makes an intelligent decision and takes the least impactful action that have the least impact on the system to maintain mission assurance.

    Systems and methods for used learned representations to determine terrain type
    15.
    发明授权
    Systems and methods for used learned representations to determine terrain type 有权

    公开(公告)号：US11275940B1

    公开(公告)日：2022-03-15

    申请号：US16924409

    申请日：2020-07-09

    Applicant: ARCHITECTURE TECHNOLOGY CORPORATION

    Inventor： Paul Nicotera ,  Robert Joyce ,  Judson Powers ,  Daniel McArdle

    IPC: G06K9/00

    Abstract: Disclosed herein are embodiments of systems, methods, and products comprise an analytic server, which provides a terrain segmentation and classification tool for synthetic aperture radar (SAR) imagery. The server accurately segments and classifies terrain types in SAR imagery and automatically adapts to new radar sensors data. The server receives a first SAR imagery and trains an autoencoder based on the first SAR imagery to generate learned representations of the first SAR imagery. The server trains a classifier based on labeled data of the first SAR imagery data to recognize terrain types from the learned representations of the first SAR imagery. The server receives a terrain query for a second SAR imagery. The server translates the second imagery data into the first imagery data and classifies the second SAR imagery terrain types using the classifier trained for the first SAR imagery. By reusing the original classifier, the server improves system efficiency.

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