FIELD: computer engineering.
SUBSTANCE: said result is achieved by implementing a method for detecting obfuscated malicious commands in an OS system console, in which: data on executable commands are obtained; presenting them as sets of categorical variables; calculating occurrence of variables in commands; obtaining instruction representations in form of a numerical vector; performing clustering and selecting clusters with dominant shares of obfuscated malicious and legitimate commands; processing the obtained vectors using a machine learning model and obtaining a probability estimate value for the commands that the command is an obfuscated malicious command; commands below the threshold value are excluded from the set, as well as commands that are closer to clusters with a dominant share of legitimate commands; adding commands to the set, which are closer to clusters with a dominant share of obfuscated malicious commands; for each instruction from the set, an abnormality estimate value is obtained; excluding typical commands by threshold value of abnormality; detecting obfuscated malicious commands.
EFFECT: higher security of the operating system.
7 cl, 3 dwg
| Title | Year | Author | Number | 
|---|---|---|---|
| METHOD AND DEVICE FOR DETERMINING FRAUDULENT TRANSACTIONS OF USER | 2024 | 
 | RU2839053C1 | 
| METHOD AND SYSTEM FOR STATIC ANALYSIS OF EXECUTABLE FILES BASED ON PREDICTIVE MODELS | 2020 | 
 | RU2759087C1 | 
| METHOD AND SYSTEM FOR DETECTING MALICIOUS FILES IN A NON-ISOLATED MEDIUM | 2020 | 
 | RU2722692C1 | 
| AUTOMATIC DETERMINATION OF SET OF CATEGORIES FOR DOCUMENT CLASSIFICATION | 2018 | 
 | RU2701995C2 | 
| SYSTEM AND METHOD OF BLOCKING SCRIPT EXECUTION | 2015 | 
 | RU2606564C1 | 
| METHOD AND SYSTEM FOR DETERMINING BELONGING OF SOFTWARE BY ITS MACHINE CODE | 2019 | 
 | RU2728497C1 | 
| METHOD OF DETECTING MALICIOUS FILES USING LINK GRAPH | 2023 | 
 | RU2823749C1 | 
| METHODS OF DETECTING MALICIOUS ELEMENTS OF WEB PAGES | 2016 | 
 | RU2638710C1 | 
| METHOD AND SYSTEM FOR CLUSTERING EXECUTABLE FILES | 2021 | 
 | RU2778979C1 | 
| METHOD AND SYSTEM FOR PREVENTING MALICIOUS AUTOMATED ATTACKS | 2020 | 
 | RU2740027C1 | 
Authors
Dates
2025-04-17—Published
2024-04-24—Filed