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公开(公告)号：US10824535B1
公开(公告)日：2020-11-03
申请号：US16266447
申请日：2019-02-04
Inventor： Rajiv Shah , Shannon Morrison , Jeremy Cunningham , Taylor Smith , Sripriya Sundararaman , Jing Wan , Jeffrey Hevrin , Ronald Duehr , Brad Sliz , Lucas Allen
Abstract: A computer-implemented method for determining features of a dataset that are indicative of anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) executing a time series decomposition algorithm on a portion of the features of the data to generate a first list of features, (3) implementing a plurality of traffic dispersion graphs to generate a second list of features, and (4) implementing an autoencoder and a random forest regressor to generate a third list of features.
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公开(公告)号：US20200311825A1
公开(公告)日：2020-10-01
申请号：US16902536
申请日：2020-06-16
Inventor： Rajiv Shah , Michael S. Jacob , Sripriya Sundararaman , Jeffrey D. Hevrin , Jeffrey G. Kinsey , Phillip Sangpil Moon , EllaKate LeFebre , Sunish Moon , Jeffrey W. Stoiber , James Dykeman , Erin Olander , Lucas Allen
IPC: G06Q40/08
Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.
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公开(公告)号：US11310253B1
公开(公告)日：2022-04-19
申请号：US16842351
申请日：2020-04-07
Inventor： Rajiv Shah , Shannon Morrison , Jeremy Cunningham , Taylor Smith , Sripriya Sundararaman , Jing Wan , Jeffrey Hevrin , Ronald Duehr , Brad Sliz , Lucas Allen
IPC: H04L29/06
Abstract: A computer-implemented method for detecting anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) applying a first plurality of algorithms to determine features of the data which may contribute to anomalous behavior of the computers, and (3) applying a second plurality of algorithms to determine which computers are behaving anomalously based upon the features.
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公开(公告)号：US10824888B1
公开(公告)日：2020-11-03
申请号：US15874060
申请日：2018-01-18
Inventor： Ben Blaisdell , Yue Liu , Aditya Subramanian , Sripriya Sundararaman , Aaron Scott Chan , Utku Pamuksuz , Kenneth J. Sanchez
Abstract: Systems and methods for assessing the movements of a driver while operating the vehicle are provided. According to certain aspects, an electronic device may receive and analyze image data from a 2-D image sensor and a 3-D image sensor, where the image data depicts an individual located within a vehicle. The electronic device may also access a library of baseline movements to which to compare the image data. Based on the comparing, the electronic device may identify and record a set of movements made by the driver.
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公开(公告)号：US11049189B2
公开(公告)日：2021-06-29
申请号：US16902536
申请日：2020-06-16
Inventor： Rajiv Shah , Michael S. Jacob , Sripriya Sundararaman , Jeffrey D. Hevrin , Jeffrey G. Kinsey , Phillip Sangpil Moon , EllaKate LeFebre , Sunish Menon , Jeffrey W. Stoiber , James Dykeman , Erin Olander , Lucas Allen
Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.
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Patent Agency Ranking
公开(公告)号：US11017480B2
公开(公告)日：2021-05-25
申请号：US16906408
申请日：2020-06-19
Inventor： Rajiv Shah , Michael S. Jacob , Sripriya Sundararaman , Jeffrey D. Hevrin , Jeffrey G. Kinsey , Phillip Sangpil Moon , Ellakate LeFebre , Sunish Menon , Jeffrey W. Stoiber , James Dykeman , Erin Olander , Lucas Allen
Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.
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公开(公告)号：US20200320639A1
公开(公告)日：2020-10-08
申请号：US16906408
申请日：2020-06-19
Inventor： Rajiv Shah , Michael S. Jacob , Sripriya Sundararaman , Jeffrey D. Hervin , Jeffrey G. Kinsey , Phillip Sangpil Moon , Ellakate LeFebre , Sunish Menon , Jeffrey W. Stoiber , James Dykeman , Erin Olander , Lucas Allen
Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.
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公开(公告)号：US11321214B1
公开(公告)日：2022-05-03
申请号：US17068821
申请日：2020-10-12
Inventor： Rajiv Shah , Shannon Morrison , Jeremy Cunningham , Taylor Smith , Sripriya Sundararaman , Jing Wan , Jeffrey Hevrin , Ronald Duehr , Brad Sliz , Lucas Allen
Abstract: A computer-implemented method for determining features of a dataset that are indicative of anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) executing a time series decomposition algorithm on a portion of the features of the data to generate a first list of features, (3) implementing a plurality of traffic dispersion graphs to generate a second list of features, and (4) implementing an autoencoder and a random forest regressor to generate a third list of features.
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公开(公告)号：US10652257B1
公开(公告)日：2020-05-12
申请号：US15643716
申请日：2017-07-07
Inventor： Rajiv Shah , Shannon Morrison , Jeremy Cunningham , Taylor Smith , Sripriya Sundararaman , Jing Wan , Jeffrey Hevrin , Ronald Duehr , Brad Sliz , Lucas Allen
IPC: H04L29/06
Abstract: A computer-implemented method for detecting anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) applying a first plurality of algorithms to determine features of the data which may contribute to anomalous behavior of the computers, and (3) applying a second plurality of algorithms to determine which computers are behaving anomalously based upon the features.
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公开(公告)号：US10387966B1
公开(公告)日：2019-08-20
申请号：US15403376
申请日：2017-01-11
Inventor： Rajiv Shah , Michael Shawn Jacob , Sripriya Sundararaman , Jeffrey David Hevrin , Jeffrey Kinsey , Phillip Sangpil Moon , EllaKate LeFebre , Sunish Menon , Jeffrey Wilson Stoiber , James Nolan Dykeman , Erin Ann Olander , Lucas Allen
Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.
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