Patents by Inventor David Senecal

David Senecal 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).

  • 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
  • Patent number: 11368483
    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 21, 2022
    Assignee: Akamai Technologies, Inc.
    Inventors: David Senecal, Prajakta Bhurke
  • 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
  • Publication number: 20220086186
    Abstract: A method of bot detection in a computer network leverages a machine learning system. The machine learning system receives a fingerprint derived at a server, the server having extracted a set of transport layer security parameters received from a client and processed the set parameters into the fingerprint. Based at least in part on the fingerprint, the learning system determines whether the client is likely to be a bot as opposed to a human user. The system generates and returns to the server as score having a first value when the fingerprint is determined to be associated with a good client, and having a second value when the fingerprint is determined to be associated with a bot. Based on the score received from the machine learning system, the server takes a configured action with respect to the client.
    Type: Application
    Filed: November 23, 2021
    Publication date: March 17, 2022
    Applicant: Akamai Technologies, Inc.
    Inventors: David Senecal, Andrew Kahn, Ory Segal, Elad Shuster, Duc Nguyen
  • 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
  • Patent number: 11184390
    Abstract: This disclosure describes a technique to fingerprint TLS connection information to facilitate bot detection. The notion is referred to herein as “TLS fingerprinting.” Preferably, TLS fingerprinting herein comprises combining different parameters from the initial “Hello” packet send by the client. In one embodiment, the different parameters from the Hello packet that are to create the fingerprint (the “TLS signature”) are: record layer version, client version, ordered TLS extensions, ordered cipher list, ordered elliptic curve list, and ordered signature algorithms list. Preferably, the edge server persists the TLS signature for the duration of a session.
    Type: Grant
    Filed: May 8, 2018
    Date of Patent: November 23, 2021
    Assignee: Akamai Technologies, Inc.
    Inventors: David Senecal, Andrew Kahn, Ory Segal, Elad Shuster, Duc Nguyen
  • Publication number: 20190190950
    Abstract: This disclosure describes a technique to fingerprint TLS connection information to facilitate bot detection. The notion is referred to herein as “TLS fingerprinting.” Preferably, TLS fingerprinting herein comprises combining different parameters from the initial “Hello” packet send by the client. In one embodiment, the different parameters from the Hello packet that are to create the fingerprint (the “TLS signature”) are: record layer version, client version, ordered TLS extensions, ordered cipher list, ordered elliptic curve list, and ordered signature algorithms list. Preferably, the edge server persists the TLS signature for the duration of a session.
    Type: Application
    Filed: May 8, 2018
    Publication date: June 20, 2019
    Applicant: Akamai Technologies, Inc.
    Inventors: David Senecal, Andrew Kahn, Ory Segal, Elad Shuster, Duc Nguyen