Patents by Inventor Michael Graham Malone

Michael Graham Malone 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).

  • Parallel processing for malware detection
    Patent number: 11520887
    Abstract: Client devices detect malware based on a ruleset received from a security server. To evaluate a current ruleset, an administrative client device initiates a ruleset evaluation of the malware detection ruleset. A security server partitions stored malware samples into a group of evaluation lists based on an evaluation policy. The security server then creates scanning nodes on an evaluation server according to the evaluation policy. The scanning nodes scan the malware samples of the evaluation lists using the rulesets and associate each malware sample with a rule of the ruleset based on the detections, if any. The security server analyzes the associations and optimizes the ruleset and stored malware samples. The security server sends the optimized ruleset to client devices such that they more efficiently detect malware samples.
    Type: Grant
    Filed: October 14, 2020
    Date of Patent: December 6, 2022
    Assignee: Malwarebytes Inc.
    Inventors: Sunil Mathew Thomas, Michael Graham Malone
  • PARALLEL PROCESSING FOR MALWARE DETECTION
    Publication number: 20210026963
    Abstract: Client devices detect malware based on a ruleset received from a security server. To evaluate a current ruleset, an administrative client device initiates a ruleset evaluation of the malware detection ruleset. A security server partitions stored malware samples into a group of evaluation lists based on an evaluation policy. The security server then creates scanning nodes on an evaluation server according to the evaluation policy. The scanning nodes scan the malware samples of the evaluation lists using the rulesets and associate each malware sample with a rule of the ruleset based on the detections, if any. The security server analyzes the associations and optimizes the ruleset and stored malware samples. The security server sends the optimized ruleset to client devices such that they more efficiently detect malware samples.
    Type: Application
    Filed: October 14, 2020
    Publication date: January 28, 2021
    Inventors: Sunil Mathew Thomas, Michael Graham Malone
  • Parallel processing for malware detection
    Patent number: 10839078
    Abstract: Client devices detect malware based on a ruleset received from a security server. To evaluate a current ruleset, an administrative client device initiates a ruleset evaluation of the malware detection ruleset. A security server partitions stored malware samples into a group of evaluation lists based on an evaluation policy. The security server then creates scanning nodes on an evaluation server according to the evaluation policy. The scanning nodes scan the malware samples of the evaluation lists using the rulesets and associate each malware sample with a rule of the ruleset based on the detections, if any. The security server analyzes the associations and optimizes the ruleset and stored malware samples. The security server sends the optimized ruleset to client devices such that they more efficiently detect malware samples.
    Type: Grant
    Filed: November 11, 2019
    Date of Patent: November 17, 2020
    Assignee: MALWAREBYTES INC.
    Inventors: Sunil Mathew Thomas, Michael Graham Malone
  • Parallel Processing For Malware Detection
    Publication number: 20200082082
    Abstract: Client devices detect malware based on a ruleset received from a security server. To evaluate a current ruleset, an administrative client device initiates a ruleset evaluation of the malware detection ruleset. A security server partitions stored malware samples into a group of evaluation lists based on an evaluation policy. The security server then creates scanning nodes on an evaluation server according to the evaluation policy. The scanning nodes scan the malware samples of the evaluation lists using the rulesets and associate each malware sample with a rule of the ruleset based on the detections, if any. The security server analyzes the associations and optimizes the ruleset and stored malware samples. The security server sends the optimized ruleset to client devices such that they more efficiently detect malware samples.
    Type: Application
    Filed: November 11, 2019
    Publication date: March 12, 2020
    Inventors: Sunil Mathew Thomas, Michael Graham Malone
  • Parallel processing for malware detection
    Patent number: 10496821
    Abstract: Client devices detect malware based on a ruleset received from a security server. To evaluate a current ruleset, an administrative client device initiates a ruleset evaluation of the malware detection ruleset. A security server partitions stored malware samples into a group of evaluation lists based on an evaluation policy. The security server then creates scanning nodes on an evaluation server according to the evaluation policy. The scanning nodes scan the malware samples of the evaluation lists using the rulesets and associate each malware sample with a rule of the ruleset based on the detections, if any. The security server analyzes the associations and optimizes the ruleset and stored malware samples. The security server sends the optimized ruleset to client devices such that they more efficiently detect malware samples.
    Type: Grant
    Filed: December 10, 2018
    Date of Patent: December 3, 2019
    Assignee: Malwarebytes Inc.
    Inventors: Sunil Mathew Thomas, Michael Graham Malone
  • PARALLEL PROCESSING FOR MALWARE DETECTION
    Publication number: 20190294793
    Abstract: Client devices detect malware based on a ruleset received from a security server. To evaluate a current ruleset, an administrative client device initiates a ruleset evaluation of the malware detection ruleset. A security server partitions stored malware samples into a group of evaluation lists based on an evaluation policy. The security server then creates scanning nodes on an evaluation server according to the evaluation policy. The scanning nodes scan the malware samples of the evaluation lists using the rulesets and associate each malware sample with a rule of the ruleset based on the detections, if any. The security server analyzes the associations and optimizes the ruleset and stored malware samples. The security server sends the optimized ruleset to client devices such that they more efficiently detect malware samples.
    Type: Application
    Filed: December 10, 2018
    Publication date: September 26, 2019
    Inventors: Sunil Mathew Thomas, Michael Graham Malone
  • Parallel processing for malware detection
    Patent number: 10185826
    Abstract: Client devices detect malware based on a ruleset received from a security server. To evaluate a current ruleset, an administrative client device initiates a ruleset evaluation of the malware detection ruleset. A security server partitions stored malware samples into a group of evaluation lists based on an evaluation policy. The security server then creates scanning nodes on an evaluation server according to the evaluation policy. The scanning nodes scan the malware samples of the evaluation lists using the rulesets and associate each malware sample with a rule of the ruleset based on the detections, if any. The security server analyzes the associations and optimizes the ruleset and stored malware samples. The security server sends the optimized ruleset to client devices such that they more efficiently detect malware samples.
    Type: Grant
    Filed: March 20, 2018
    Date of Patent: January 22, 2019
    Assignee: MALWAREBYTES INC.
    Inventors: Sunil Mathew Thomas, Michael Graham Malone