Patents by Inventor Nikolay Balakin

Nikolay Balakin 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).

  • Malware detection quality control
    Patent number: 11921854
    Abstract: A method of continuous development of an internal threat scan engine based on an iterative quality assessment includes iteratively performing a dynamic assessment of a quality of a threat detection with a frequency defined for each of objects in an object collection, wherein a result of the dynamic assessment includes internal and external scan results of the objects and a consistency verdict of the internal and external scan results of the objects, changing a frequency of scanning iteration of the objects based on the consistency verdict of the external and internal scan results of the objects, classifying the objects based on the result of the dynamic assessment, and creating a development task including the internal and external scan results of the objects, meta-data of the objects, and automated test results to provide details for developing a software to fix inconsistency of the internal and external scan results.
    Type: Grant
    Filed: June 29, 2021
    Date of Patent: March 5, 2024
    Assignee: Acronis International GmbH
    Inventors: Andrey Kulaga, Nikolay Balakin, Nikolay Grebennikov, Serguei Beloussov, Stanislav Protasov
  • Malware attributes database and clustering
    Publication number: 20230098919
    Abstract: A system and method for detecting malware using hierarchical clustering analysis. Unknown files classified by clustering and in view of known malicious and known safe files. Machine learning models and detection rules are used to enhance classification accuracy.
    Type: Application
    Filed: September 30, 2021
    Publication date: March 30, 2023
    Inventors: Andrey Kulaga, Nikolay Balakin, Maxim Davydov, Nikolay Grebennikov, Serguei Beloussov, Stanislav Protasov
  • Malware detection quality control
    Publication number: 20220414215
    Abstract: A method of continuous development of an internal threat scan engine based on an iterative quality assessment includes iteratively performing a dynamic assessment of a quality of a threat detection with a frequency defined for each of objects in an object collection, wherein a result of the dynamic assessment includes internal and external scan results of the objects and a consistency verdict of the internal and external scan results of the objects, changing a frequency of scanning iteration of the objects based on the consistency verdict of the external and internal scan results of the objects, classifying the objects based on the result of the dynamic assessment, and creating a development task including the internal and external scan results of the objects, meta-data of the objects, and automated test results to provide details for developing a software to fix inconsistency of the internal and external scan results.
    Type: Application
    Filed: June 29, 2021
    Publication date: December 29, 2022
    Inventors: Andrey Kulaga, Nikolay Balakin, Nikolay Grebennikov, Serguei Beloussov, Stanislav Protasov