MULTI-LEVEL MALWARE CLASSIFICATION MACHINE-LEARNING METHOD AND SYSTEM

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United States of America Patent

APP PUB NO 20240232349A1
SERIAL NO

18448466

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Abstract

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A cyber security method and system for detecting malware via an anti-malware application employing a fast locality-sensitive hashing evaluation using a vantage-point tree (VPT) structure for the indication of malicious files and non-malicious files. The locality-sensitive hashing evaluation using the VPT structure can be performed prior to initiating the deeper, more computationally intensive evaluation and is used to identify with high confidence a scanned file or data object being a malicious file, a non-malicious file, or a low confidence measure of the two.

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Patent Owner(s)

Patent OwnerAddress
UAB 360 ITSVITRIGAILOS G 36 VILNIUS LT-03228

International Classification(s)

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  • 2023 Application Filing Year
  • G06N Class
  • 9892 Applications Filed
  • 2446 Patents Issued To-Date
  • 24.73 % Issued To-Date
Click to zoom InYear of Issuance% of Matters IssuedCumulative IssuancesYearly Issuances2023202420250255075100

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Briliauskas, Mantas Vilnius, LT 51 4

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Citation count rangeNumber of patents cited in rangeNumber of patents cited in various citation count ranges11654401 - 10050100150200250300350400450500550600650700750800850900950100010501100115012001250

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