FIELD: information security.
SUBSTANCE: technical result is achieved by determining the characteristics of the file subject to checking for maliciousness; selecting at least two modules for checking the file for maliciousness from the module database, based on the determined characteristics; selecting a rule for checking the file for maliciousness from the rule database for each selected module, wherein the rule for checking the file for maliciousness constitutes a method for calculating the degree of maliciousness of the file; forming a rule for checking the file for maliciousness from the selected rules.
EFFECT: increase in the accuracy of detecting malware.
18 cl, 3 dwg
Title | Year | Author | Number |
---|---|---|---|
SYSTEM AND METHOD OF MANAGING COMPUTING RESOURCES FOR DETECTING MALICIOUS FILES | 2017 |
|
RU2659737C1 |
SYSTEM AND METHOD FOR TRAINING HARMFUL CONTAINER DETECTION MODEL | 2018 |
|
RU2697955C2 |
SYSTEM AND METHOD FOR ASSESSING AN APPLICATION FOR THE PRESENCE OF MALWARE | 2020 |
|
RU2757265C1 |
SYSTEM AND METHOD OF SELECTING MEANS OF DETECTING MALICIOUS FILES | 2019 |
|
RU2739830C1 |
SYSTEM AND METHOD OF DETECTING A MALICIOUS FILE | 2018 |
|
RU2739865C2 |
SYSTEM AND METHOD OF MACHINE TRAINING MODEL OF DETECTING MALICIOUS FILES | 2017 |
|
RU2673708C1 |
SYSTEM AND METHOD OF CLASSIFYING OBJECTS OF COMPUTER SYSTEM | 2018 |
|
RU2724710C1 |
SYSTEM AND METHOD OF CLASSIFICATION OF OBJECTS | 2017 |
|
RU2679785C1 |
SYSTEM AND METHOD OF DETECTION OF MALICIOUS FILES USING A TRAINED MALWARE DETECTION PATTERN | 2017 |
|
RU2654151C1 |
ELIMINATION OF FALSE ACTIVATION OF ANTI-VIRUS RECORDS | 2016 |
|
RU2625053C1 |
Authors
Dates
2021-10-15—Published
2020-09-24—Filed