Patents by Inventor Tu Vuong

Tu Vuong 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: 20220217157
    Abstract: A method of detecting bots, preferably in an operating environment supported by a content delivery network (CDN) that comprises a shared infrastructure of distributed edge servers from which CDN customer content is delivered to requesting end users (clients). The method begins as clients interact with the edge servers. As such interactions occur, transaction data is collected. The transaction data is mined against a set of “primitive” or “compound” features sets to generate a database of information. In particular, preferably the database comprises one or more data structures, wherein a given data structure associates a feature value with its relative percentage occurrence across the collected transaction data. Thereafter, and upon receipt of a new transaction request, primitive or compound feature set data derived from the new transaction request are compared against the database. Based on the comparison, an end user client associated with the new transaction request is then characterized, e.g.
    Type: Application
    Filed: March 29, 2022
    Publication date: July 7, 2022
    Applicant: Akamai Technologies, Inc.
    Inventors: Venkata Sai Kishore Modalavalasa, Sreenath Kurupati, Tu Vuong
  • Patent number: 11374945
    Abstract: A server interacts with a bot detection service to provide bot detection as a requesting client interacts with the server. In an asynchronous mode, the server injects into a page a data collection script configured to record interactions at the requesting client, to collect sensor data about the interactions, and to send the collected sensor data to the server. After the client receives the page, the sensor data is collected and forwarded to the server through a series of posts. The server forwards the posts to the detection service. During this data collection, the server also may receive a request from the client for a protected endpoint. When this occurs, and in a synchronous mode, the server issues a query to the detection service to obtain a threat score based in part on the collected sensor data that has been received and forwarded by the server. Based on the threat score returned, the server then determines whether the request for the endpoint should be forwarded onward for handling.
    Type: Grant
    Filed: February 12, 2019
    Date of Patent: June 28, 2022
    Assignee: Akamai Technologies, Inc.
    Inventors: David Senecal, Prajakta Bhurke, Tu Vuong
  • Publication number: 20220166791
    Abstract: A server interacts with a bot detection service to provide bot detection as a requesting client interacts with the server. In an asynchronous mode, the server injects into a page a data collection script configured to record interactions at the requesting client, to collect sensor data about the interactions, and to send the collected sensor data to the server. After the client receives the page, the sensor data is collected and forwarded to the server through a series of posts. The server forwards the posts to the detection service. During this data collection, the server also may receive a request from the client for a protected endpoint. When this occurs, and in a synchronous mode, the server issues a query to the detection service to obtain a threat score based in part on the collected sensor data that has been received and forwarded by the server. Based on the threat score returned, the server then determines whether the request for the endpoint should be forwarded onward for handling.
    Type: Application
    Filed: February 8, 2022
    Publication date: May 26, 2022
    Applicant: Akamai Technologies, Inc.
    Inventors: David Senecal, Prajakta Bhurke, Tu Vuong
  • Patent number: 11290468
    Abstract: A method of detecting bots, preferably in an operating environment supported by a content delivery network (CDN) that comprises a shared infrastructure of distributed edge servers from which CDN customer content is delivered to requesting end users (clients). The method begins as clients interact with the edge servers. As such interactions occur, transaction data is collected. The transaction data is mined against a set of “primitive” or “compound” features sets to generate a database of information. In particular, preferably the database comprises one or more data structures, wherein a given data structure associates a feature value with its relative percentage occurrence across the collected transaction data. Thereafter, and upon receipt of a new transaction request, primitive or compound feature set data derived from the new transaction request are compared against the database. Based on the comparison, an end user client associated with the new transaction request is then characterized, e.g.
    Type: Grant
    Filed: July 7, 2020
    Date of Patent: March 29, 2022
    Assignee: Akamai Technologies, Inc.
    Inventors: Venkata Sai Kishore Modalavalasa, Sreenath Kurupati, Tu Vuong
  • Patent number: 11245722
    Abstract: A server interacts with a bot detection service to provide bot detection as a requesting client interacts with the server. In an asynchronous mode, the server injects into a page a data collection script configured to record interactions at the requesting client, to collect sensor data about the interactions, and to send the collected sensor data to the server. After the client receives the page, the sensor data is collected and forwarded to the server through a series of posts. The server forwards the posts to the detection service. During this data collection, the server also may receive a request from the client for a protected endpoint. When this occurs, and in a synchronous mode, the server issues a query to the detection service to obtain a threat score based in part on the collected sensor data that has been received and forwarded by the server. Based on the threat score returned, the server then determines whether the request for the endpoint should be forwarded onward for handling.
    Type: Grant
    Filed: February 12, 2019
    Date of Patent: February 8, 2022
    Assignee: Akamai Technologies, Inc.
    Inventors: David Senecal, Prajakta Bhurke, Tu Vuong
  • Publication number: 20200336496
    Abstract: A method of detecting bots, preferably in an operating environment supported by a content delivery network (CDN) that comprises a shared infrastructure of distributed edge servers from which CDN customer content is delivered to requesting end users (clients). The method begins as clients interact with the edge servers. As such interactions occur, transaction data is collected. The transaction data is mined against a set of “primitive” or “compound” features sets to generate a database of information. In particular, preferably the database comprises one or more data structures, wherein a given data structure associates a feature value with its relative percentage occurrence across the collected transaction data. Thereafter, and upon receipt of a new transaction request, primitive or compound feature set data derived from the new transaction request are compared against the database. Based on the comparison, an end user client associated with the new transaction request is then characterized, e.g.
    Type: Application
    Filed: July 7, 2020
    Publication date: October 22, 2020
    Applicant: Akamai Technologies, Inc.
    Inventors: Venkata Sai Kishore Modalavalasa, Sreenath Kurupati, Tu Vuong
  • Patent number: 10708281
    Abstract: A method of detecting bots, preferably in an operating environment supported by a content delivery network (CDN) that comprises a shared infrastructure of distributed edge servers from which CDN customer content is delivered to requesting end users (clients). The method begins as clients interact with the edge servers. As such interactions occur, transaction data is collected. The transaction data is mined against a set of “primitive” or “compound” features sets to generate a database of information. In particular, preferably the database comprises one or more data structures, wherein a given data structure associates a feature value with its relative percentage occurrence across the collected transaction data. Thereafter, and upon receipt of a new transaction request, primitive or compound feature set data derived from the new transaction request are compared against the database. Based on the comparison, an end user client associated with the new transaction request is then characterized, e.g.
    Type: Grant
    Filed: September 24, 2018
    Date of Patent: July 7, 2020
    Assignee: Akamai Technologies, Inc.
    Inventors: Venkata Sai Kishore Modalavalasa, Sreenath Kurupati, Tu Vuong
  • Patent number: 10587629
    Abstract: This disclosure describes a bot detection system that distinguishes bot transactions from human transactions. The system utilizes an anomaly-based filter process to reduce the number of false positives as determined by the system. The filter process includes maintaining a database of anomaly patterns, wherein the patterns are encoded as anomaly pattern strings. As anomalies are detected, they are encoded in the anomaly pattern strings, and the database is updated by maintaining counts on the occurrences of the strings. When a particular pattern string as reflected in the database has a count that exceeds a threshold, the string is determined to be associated with a bot as opposed to a human user.
    Type: Grant
    Filed: November 6, 2017
    Date of Patent: March 10, 2020
    Assignee: Akamai Technologies, Inc.
    Inventors: Sreenath Kurupati, Sridhar Machiroutu, Prajakta Bhurke, Tu Vuong