FIELD: computing technology.
SUBSTANCE: method for protecting user devices, consisting of: determining the values of user activity signs from a set of user devices of at least two devices; identifying an anomaly indicating a threat to the information security of the user devices by applying a trained anomaly identification model receiving the determined values of user activity signs at the input; determining the type of the identified anomaly and the device acting as the source of the anomaly by applying a trained anomaly classification model receiving the values of user activity signs at the input; changing the information security settings of the device according to the determined type of anomaly.
EFFECT: improved level of protection of a set of user devices.
28 cl, 5 tbl, 4 dwg
Title | Year | Author | Number |
---|---|---|---|
SYSTEM AND METHOD FOR SUBSCRIBER DATA PROTECTION IN CASE OF AN UNWANTED CALL | 2021 |
|
RU2774054C1 |
COMPUTER APPARATUS FOR DETECTING AN UNWANTED CALL | 2021 |
|
RU2780046C1 |
METHOD FOR ADJUSTING THE PARAMETERS OF A MACHINE LEARNING MODEL IN ORDER TO IDENTIFY FALSE TRIGGERING AND INFORMATION SECURITY INCIDENTS | 2020 |
|
RU2763115C1 |
METHOD FOR PROCESSING INFORMATION SECURITY EVENTS PRIOR TO TRANSMISSION FOR ANALYSIS | 2020 |
|
RU2762528C1 |
SYSTEM AND METHOD FOR DETERMINING ANOMALY SOURCE IN CYBER-PHYSICAL SYSTEM HAVING CERTAIN CHARACTERISTICS | 2018 |
|
RU2724075C1 |
METHOD OF DETERMINING ANOMALY SOURCES IN A CYBER-PHYSICAL SYSTEM | 2020 |
|
RU2749252C1 |
METHOD FOR DIAGNOSING AND MONITORING ANOMALIES IN A CYBER-PHYSICAL SYSTEM | 2021 |
|
RU2784981C1 |
SYSTEM AND METHOD FOR SELECTING USER DESCRIPTION MODEL | 2020 |
|
RU2764383C2 |
SYSTEM AND METHOD OF GENERATING DATA FOR MONITORING CYBER-PHYSICAL SYSTEM FOR PURPOSE OF EARLY DETECTION OF ANOMALIES IN GRAPHICAL USER INTERFACE | 2018 |
|
RU2724716C1 |
SYSTEM AND METHOD OF GENERATING INDIVIDUAL CONTENT FOR SERVICE USER | 2019 |
|
RU2745362C1 |
Authors
Dates
2022-04-14—Published
2020-08-24—Filed