Patents by Inventor Harold Nguyen

Harold Nguyen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240422194
    Abstract: Aspects of the disclosure relate to detecting impersonation in email body content using machine learning. Based on email data received from user accounts, a computing platform may generate user identification models that are each specific to one of the user accounts. The computing platform may intercept a message from a first user account to a second user account and may apply a user identification model, specific to the first user account, to the message, so as to calculate feature vectors for the message. The computing platform then may apply impersonation algorithms to the feature vectors and may determine that the message is impersonated. Based on results of the impersonation algorithms, the computing platform may modify delivery of the message.
    Type: Application
    Filed: June 4, 2024
    Publication date: December 19, 2024
    Inventor: Harold Nguyen
  • Publication number: 20240281658
    Abstract: Disclosed is a new location threat monitoring solution that leverages deep learning (DL) to process data from data sources on the Internet, including social media and the dark web. Data containing textual information relating to a brand is fed to a DL model having a DL neural network trained to recognize or infer whether a piece of natural language input data from a data source references an address or location of interest to the brand, regardless of whether the piece of natural language input data actually contains the address or location. A DL module can determine, based on an outcome from the neural network, whether the data is to be classified for potential location threats. If so, the data is provided to location threat classifiers for identifying a location threat with respect to the address or location referenced in the data from the data source.
    Type: Application
    Filed: April 24, 2024
    Publication date: August 22, 2024
    Inventors: Harold Nguyen, Michael Lee, Daniel Oshiro Nadir
  • Patent number: 12041086
    Abstract: Aspects of the disclosure relate to detecting impersonation in email body content using machine learning. Based on email data received from user accounts, a computing platform may generate user identification models that are each specific to one of the user accounts. The computing platform may intercept a message from a first user account to a second user account and may apply a user identification model, specific to the first user account, to the message, so as to calculate feature vectors for the message. The computing platform then may apply impersonation algorithms to the feature vectors and may determine that the message is impersonated. Based on results of the impersonation algorithms, the computing platform may modify delivery of the message.
    Type: Grant
    Filed: December 8, 2022
    Date of Patent: July 16, 2024
    Assignee: Proofpoint, Inc.
    Inventor: Harold Nguyen
  • Patent number: 11995541
    Abstract: Disclosed is a new location threat monitoring solution that leverages deep learning (DL) to process data from data sources on the Internet, including social media and the dark web. Data containing textual information relating to a brand is fed to a DL model having a DL neural network trained to recognize or infer whether a piece of natural language input data from a data source references an address or location of interest to the brand, regardless of whether the piece of natural language input data actually contains the address or location. A DL module can determine, based on an outcome from the neural network, whether the data is to be classified for potential location threats. If so, the data is provided to location threat classifiers for identifying a location threat with respect to the address or location referenced in the data from the data source.
    Type: Grant
    Filed: February 8, 2019
    Date of Patent: May 28, 2024
    Assignee: PROOFPOINT, INC.
    Inventors: Harold Nguyen, Michael Lee, Daniel Oshiro Nadir
  • Publication number: 20230325946
    Abstract: Technology is disclosed for detecting imposters of a brand account. The technology can store a brand profile of the brand account, detect that a message has been publicly communicated to the brand account from a social media account, monitor messages sent publicly to the social media account from other social media accounts by repeatedly comparing the brand profile to metadata of each of the monitored messages, and identify at least one of the other social media accounts as an imposter account based on the comparing. The technology can cease the comparing at predetermined expiration time occurring after the detection of the message that was sent publicly to the brand account.
    Type: Application
    Filed: June 5, 2023
    Publication date: October 12, 2023
    Inventors: Sharon Hüffner, Harold Nguyen, Richard Banks Sutton, David Oshiro Nadir
  • Patent number: 11710195
    Abstract: Technology is disclosed for detecting imposters of a brand account. The technology can store a brand profile of the brand account, detect that a message has been publicly communicated to the brand account from a social media account, monitor messages sent publicly to the social media account from other social media accounts by repeatedly comparing the brand profile to metadata of each of the monitored messages, and identify at least one of the other social media accounts as an imposter account based on the comparing. The technology can cease the comparing at predetermined expiration time occurring after the detection of the message that was sent publicly to the brand account.
    Type: Grant
    Filed: January 11, 2021
    Date of Patent: July 25, 2023
    Assignee: PROOFPOINT, INC.
    Inventors: Sharon Hüffner, Harold Nguyen, Richard Banks Sutton, Daniel Oshiro Nadir
  • Publication number: 20230205871
    Abstract: A spammy app detection system may search a database for any new social media application discovered during a recent time period. A spammy app detection algorithm can be executed on the spammy app detection system on an hourly basis to determine whether any of such applications is spammy (i.e., posting to a social media page anomalously). The spammy app detection algorithm has a plurality of stages. When a new social media application fails any of the stages, it is identified as a spammy app. The spammy app detection system can update the database accordingly, ban the spammy application from further posting to a social media page monitored by the spammy app detection system, notify an entity associated with the social media page, further process the spammy application, and so on. In this way, the spammy app detection system can reduce digital risk and spam attacks.
    Type: Application
    Filed: February 22, 2023
    Publication date: June 29, 2023
    Inventors: Harold Nguyen, Ali Mesdaq, Daniel Oshiro Nadir, Anthony Lawrence Dorie
  • Publication number: 20230169783
    Abstract: Disclosed is an effective domain name defense solution in which a domain name string may be provided to or obtained by a computer embodying a visual domain analyzer. The domain name string may be rendered or otherwise converted to an image. An optical character recognition function may be applied to the image to read out a text string which can then be compared with a protected domain name to determine whether the text string generated by the optical character recognition function from the image converted from the domain name string is similar to or matches the protected domain name. This visual domain analysis can be dynamically applied in an online process or proactively applied in an offline process to hundreds of millions of domain names.
    Type: Application
    Filed: January 12, 2023
    Publication date: June 1, 2023
    Inventors: Gaurav Mitesh Dalal, Ali Mesdaq, Sharon Huffner, Harold Nguyen
  • Patent number: 11665135
    Abstract: Disclosed is a domain filter capable of determining an n-gram distance between a seed domain and each of a plurality of candidate domains. The domain filter loads a seed domain n-gram for the seed domain and a candidate domain n-gram for each candidate domain in memory, compares the seed domain n-gram and the candidate domain n-gram to identify any identical grams, removes any identical grams from the seed domain n-gram, and determines how many grams are left in the seed domain n-gram, representing the n-gram distance between the seed domain and the candidate domain. The domain filter then compares n-gram distances thus determined with a predetermined threshold, eliminates any candidate domain having an n-gram distance from the seed domain that exceeds the predetermined threshold, and provides remaining candidate domains to a downstream computing facility such as a user interface or an analytical module operating in an enterprise computing environment.
    Type: Grant
    Filed: December 1, 2021
    Date of Patent: May 30, 2023
    Assignee: PROOFPOINT, INC.
    Inventors: Harold Nguyen, Ali Mesdaq, Kevin Dedon, Michael Fox, Gaurav Dalal
  • Publication number: 20230104376
    Abstract: Aspects of the disclosure relate to detecting impersonation in email body content using machine learning. Based on email data received from user accounts, a computing platform may generate user identification models that are each specific to one of the user accounts. The computing platform may intercept a message from a first user account to a second user account and may apply a user identification model, specific to the first user account, to the message, so as to calculate feature vectors for the message. The computing platform then may apply impersonation algorithms to the feature vectors and may determine that the message is impersonated. Based on results of the impersonation algorithms, the computing platform may modify delivery of the message.
    Type: Application
    Filed: December 8, 2022
    Publication date: April 6, 2023
    Inventor: Harold Nguyen
  • Patent number: 11615182
    Abstract: A spammy app detection system may search a database for any new social media application discovered during a recent time period. A spammy app detection algorithm can be executed on the spammy app detection system on an hourly basis to determine whether any of such applications is spammy (i.e., posting to a social media page anomalously). The spammy app detection algorithm has a plurality of stages. When a new social media application fails any of the stages, it is identified as a spammy app. The spammy app detection system can update the database accordingly, ban the spammy application from further posting to a social media page monitored by the spammy app detection system, notify an entity associated with the social media page, further process the spammy application, and so on. In this way, the spammy app detection system can reduce digital risk and spam attacks.
    Type: Grant
    Filed: September 28, 2020
    Date of Patent: March 28, 2023
    Assignee: Proofpoint, Inc.
    Inventors: Harold Nguyen, Ali Mesdaq, Daniel Oshiro Nadir, Anthony Lawrence Dorie
  • Patent number: 11580760
    Abstract: Disclosed is an effective domain name defense solution in which a domain name string may be provided to or obtained by a computer embodying a visual domain analyzer. The domain name string may be rendered or otherwise converted to an image. An optical character recognition function may be applied to the image to read out a text string which can then be compared with a protected domain name to determine whether the text string generated by the optical character recognition function from the image converted from the domain name string is similar to or matches the protected domain name. This visual domain analysis can be dynamically applied in an online process or proactively applied in an offline process to hundreds of millions of domain names.
    Type: Grant
    Filed: May 4, 2020
    Date of Patent: February 14, 2023
    Assignee: PROOFPOINT, INC.
    Inventors: Gaurav Mitesh Dalal, Ali Mesdaq, Sharon Huffner, Harold Nguyen
  • Patent number: 11552990
    Abstract: Aspects of the disclosure relate to detecting impersonation in email body content using machine learning. Based on email data received from user accounts, a computing platform may generate user identification models that are each specific to one of the user accounts. The computing platform may intercept a message from a first user account to a second user account and may apply a user identification model, specific to the first user account, to the message, so as to calculate feature vectors for the message. The computing platform then may apply impersonation algorithms to the feature vectors and may determine that the message is impersonated. Based on results of the impersonation algorithms, the computing platform may modify delivery of the message.
    Type: Grant
    Filed: November 27, 2019
    Date of Patent: January 10, 2023
    Assignee: Proofpoint, Inc.
    Inventor: Harold Nguyen
  • Publication number: 20220094662
    Abstract: Disclosed is a domain filter capable of determining an n-gram distance between a seed domain and each of a plurality of candidate domains. The domain filter loads a seed domain n-gram for the seed domain and a candidate domain n-gram for each candidate domain in memory, compares the seed domain n-gram and the candidate domain n-gram to identify any identical grams, removes any identical grams from the seed domain n-gram, and determines how many grams are left in the seed domain n-gram, representing the n-gram distance between the seed domain and the candidate domain. The domain filter then compares n-gram distances thus determined with a predetermined threshold, eliminates any candidate domain having an n-gram distance from the seed domain that exceeds the predetermined threshold, and provides remaining candidate domains to a downstream computing facility such as a user interface or an analytical module operating in an enterprise computing environment.
    Type: Application
    Filed: December 1, 2021
    Publication date: March 24, 2022
    Inventors: Harold Nguyen, Ali Mesdaq, Kevin Dedon, Michael Fox, Gaurav Dalal
  • Patent number: 11252123
    Abstract: Technology is disclosed for detecting, classifying, and/or enforcing rules on social networking activity. The technology can scan and collect social content data from one or more social networks, store the social content data, classify content data posted to a social network, create and apply a set of social data content rules to future posted social content data.
    Type: Grant
    Filed: November 12, 2019
    Date of Patent: February 15, 2022
    Assignee: PROOFPOINT, INC.
    Inventors: Richard Banks Sutton, Daniel Oshiro Nadir, Devin Hugh Redmond, Harold Nguyen, Anthony Lawrence Dorie, Jorge Iriso, Wenchang Yan
  • Patent number: 11201850
    Abstract: Disclosed is a domain filter capable of determining an n-gram distance between a seed domain and each of a plurality of candidate domains. The domain filter loads a seed domain n-gram for the seed domain and a candidate domain n-gram for each candidate domain in memory, compares the seed domain n-gram and the candidate domain n-gram to identify any identical grams, removes any identical grams from the seed domain n-gram, and determines how many grams are left in the seed domain n-gram, representing the n-gram distance between the seed domain and the candidate domain. The domain filter then compares n-gram distances thus determined with a predetermined threshold, eliminates any candidate domain having an n-gram distance from the seed domain that exceeds the predetermined threshold, and provides remaining candidate domains to a downstream computing facility such as a user interface or an analytical module operating in an enterprise computing environment.
    Type: Grant
    Filed: September 21, 2020
    Date of Patent: December 14, 2021
    Assignee: Proofpoint, Inc.
    Inventors: Harold Nguyen, Ali Mesdaq, Kevin Dedon, Michael Fox, Gaurav Dalal
  • Publication number: 20210250327
    Abstract: Disclosed is a domain filter capable of determining an n-gram distance between a seed domain and each of a plurality of candidate domains. The domain filter loads a seed domain n-gram for the seed domain and a candidate domain n-gram for each candidate domain in memory, compares the seed domain n-gram and the candidate domain n-gram to identify any identical grams, removes any identical grams from the seed domain n-gram, and determines how many grams are left in the seed domain n-gram, representing the n-gram distance between the seed domain and the candidate domain. The domain filter then compares n-gram distances thus determined with a predetermined threshold, eliminates any candidate domain having an n-gram distance from the seed domain that exceeds the predetermined threshold, and provides remaining candidate domains to a downstream computing facility such as a user interface or an analytical module operating in an enterprise computing environment.
    Type: Application
    Filed: September 21, 2020
    Publication date: August 12, 2021
    Inventors: Harold Nguyen, Ali Mesdaq, Kevin Dedon, Michael Fox, Gaurav Dalal
  • Publication number: 20210209701
    Abstract: Technology is disclosed for detecting imposters of a brand account. The technology can store a brand profile of the brand account, detect that a message has been publicly communicated to the brand account from a social media account, monitor messages sent publicly to the social media account from other social media accounts by repeatedly comparing the brand profile to metadata of each of the monitored messages, and identify at least one of the other social media accounts as an imposter account based on the comparing. The technology can cease the comparing at predetermined expiration time occurring after the detection of the message that was sent publicly to the brand account.
    Type: Application
    Filed: January 11, 2021
    Publication date: July 8, 2021
    Inventors: Sharon Hüffner, Harold Nguyen, Richard Banks Sutton, Daniel Oshiro Nadir
  • Patent number: 10951658
    Abstract: Techniques for automating/streamlining the process of responding to a security/privacy RFI/RFP as well as monitoring the security/privacy/IT compliance of an organization are disclosed. For this purpose, a variety of data sources, internal and external to the organization, are employed. A set of machine learning algorithms are also used that find the most appropriate item in the database of data sources that match any given question/item of the RFP. Based on this matching, the RFP question is answered in an automated or a semi-automated manner. The compliance of the organization against a given policy or set of controls is monitored and any observed security/privacy gaps/risk are identified. Recommendations on overcoming the gaps are further provided to the organization.
    Type: Grant
    Filed: June 20, 2018
    Date of Patent: March 16, 2021
    Assignee: Tugboat Logic, Inc.
    Inventors: Ingrum Putz, Raymond Kruck, Harold Nguyen, Christopher Cross, Scott Sturgeon
  • Patent number: 10896473
    Abstract: Technology is disclosed for detecting imposters of a brand account. The technology can store a brand profile of the brand account, detect that a message has been publicly communicated to the brand account from a social media account, monitor messages sent publicly to the social media account from other social media accounts by repeatedly comparing the brand profile to metadata of each of the monitored messages, and identify at least one of the other social media accounts as an imposter account based on the comparing. The technology can cease the comparing at predetermined expiration time occurring after the detection of the message that was sent publicly to the brand account.
    Type: Grant
    Filed: December 30, 2016
    Date of Patent: January 19, 2021
    Assignee: PROOFPOINT, INC.
    Inventors: Sharon Hüffner, Harold Nguyen, Richard Banks Sutton, Daniel Oshiro Nadir