Patents by Inventor Maxim Davydov

Maxim Davydov 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: 20240338446
    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. A search is made for similar files using the probabilistic MinHash LSH algorithm applying a Jaccard measure. Machine learning models and detection rules are used to enhance classification accuracy.
    Type: Application
    Filed: June 17, 2024
    Publication date: October 10, 2024
    Inventors: Andrey Kulaga, Nikolay Balakin, Maxim Davydov, Nikolay Grebennikov, Serg Bell, Stanislav Protasov
  • Patent number: 12067115
    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: Grant
    Filed: September 30, 2021
    Date of Patent: August 20, 2024
    Assignee: Acronis International GmbH
    Inventors: Andrey Kulaga, Nikolay Balakin, Maxim Davydov, Nikolay Grebennikov, Serguei Beloussov, Stanislav Protasov
  • 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