Ao Kaspersky Lab

Kaspersky Lab, Zao

Anton V Tikhomirov

Andrey P Doukhvalov

Sergey V Konoplev

Nadezhda V Kashchenko

Dmitry A Polyakov

Pavel V Dyakin

Dmitry A Kulagin

Eugene V Kaspersky

Andrey Kulaga

Ivan I Tatarinov

Victor V Yablokov

Vladislav V Martynenko

Andrey V Sobko

Yury V Mashevsky

Alexander A Khalimonenko

Nikita A Pavlov

Magnus Kalkuhl

Evgenii Shchetinin

Andrey A Kulaga

Disclosed herein are systems and methods for processing personal data by application of policies. In one aspect, an exemplary method comprises, by the network infrastructure component, analyzing communication protocols between an IoT device and the network infrastructure component, identifying at least one field that contains personal data, for each identified field, analyzing the identified field using personal data processing policies uploaded to the network infrastructure component, and applying the personal data policies for enforcement.

System and method for processing personal data by application of policies

Disclosed herein are systems and methods for protecting a user's devices based on types of anomalies. In one aspect, an exemplary method comprises, determining, by a feature determiner, one or more values of features of a user's activity performed using at least one of the user's devices, detecting, by an anomaly detector, anomalies indicative of at least one threat to information security of the user's devices based on the one or more values of the features, for each detected anomaly, identifying, by the anomaly detector, a type of the anomaly and at least one device that is a source of the anomaly, wherein the type of anomaly is identified using an anomaly classifier and one or more values of features, and for each user's device, modifying, by a device protector, one or more information security settings of the user's device based on the identified type of the anomaly.

System and method for protecting a user's devices based on types of anomaly

Disclosed herein are systems and methods for configuring IoT devices from the network infrastructure component based on a type of network, wherein the network contains at least one IoT device. In one aspect, an exemplary method comprises, by the network infrastructure component, collecting, data on one or more IoT devices, wherein each of the one or more IoT devices is connected to the network infrastructure component; for each IoT device, identifying a type of network; defining policies for configuring each of the one or more IoT devices based on the identified network; and for each of the one or more IoT devices, applying policies for monitoring and configuring the IoT device.

System and method for configuring IoT devices depending on network type

Disclosed are systems and methods for enabling transmission of data and commands between a mobile device and a vehicle. An exemplary method comprises connecting a security device to a vehicle and to a mobile device, the security device having a protected memory, verifying, by the security device, an authenticity of the mobile device, allowing, by the security device, transmission of data and commands between the mobile device and at least one actuating device of the vehicle when the mobile device is verified as being authentic, transmitting, by the security device, results of executions of commands from the at least one actuating device of the vehicle to the mobile device.

Systems and methods for enabling transmission of data and commands between a mobile device and a vehicle

Disclosed are systems and methods for detecting distributed denial-of-service (DDoS) attack. An exemplary method includes receiving one or more requests from a first user for a service executing on a server, and generating a first vector associated with the first user comprised of a plurality of characteristics indicative of the first user accessing the service; calculating a comparison between the first vector and a reference vector, wherein the reference vector comprises an averaged distribution of characteristics for a plurality of users accessing the service, and determining that the service is under a denial-of-service attack based on the comparison between the first vector and the reference vector.

System and method of determining DDOS attacks

Disclosed are systems and methods for securely controlling a vehicle using a mobile device. An exemplary method comprises authenticating, by a mobile device, a user attempting to perform commands controlling one or more vehicle systems of a coupled vehicle, retrieving profile information related to the user's preference associated with the coupled vehicle, establishing a connection between the mobile device and a security device of the coupled vehicle, authenticating the mobile device with the security device, forming, by the mobile device, commands to control the one or more vehicle systems based on command forming algorithms, the one or more vehicle systems comprising actuating devices of the vehicle and electronic systems of the vehicle, modifying the formed commands based on the profile information and safety information related to a location of the vehicle and transmitting the formed commands to the one or more vehicle systems via the security device to securely control the vehicle.

Systems and methods for securely controlling a vehicle using a mobile device

Disclosed are systems and methods for secure control of automotive systems using mobile devices. An exemplary method comprises: connecting a vehicle, as a peripheral device, to a mobile device, which acts as a master device, via a security device of the vehicle, wherein the security device provides secure transmission of data and commands between the vehicle and the mobile device; receiving, by the mobile device, via the security device, from one or more measurement devices of the vehicle, measurement data from one or more automotive systems of the vehicle; based on the received measurement data, forming by the mobile device control commands for actuating devices of the vehicle, wherein the control commands enable and/or regulate operation of the actuating devices of the vehicle; and transmitting, by the mobile device, via the security device, the control commands to the actuating devices of the vehicle.

Secure control of automotive systems using mobile devices

In a computer system, processing of security-related tasks is delegated to various agent computers. According to various embodiments, a distributed computing service obtains task requests to be performed for the benefit of beneficiary computers, and delegates those tasks to one or more remote agent computers for processing. The delegation is based on a suitability determination as to whether each of the remote agent computers is suitable to perform the processing. Suitability can be based on an evaluation of such parameters as computing capacity and current availability of the remote agent computers against the various tasks to be performed and their corresponding computing resource requirements. This evaluation can be performed according to various embodiments by the agent computers, the distributed computing service, or by a combination thereof.

System and method for distributing processing of computer security tasks

A portable information device (PID) having a security module that conducts security-related functionality. At least some of the security-related functionality for the benefit of the PID is provided by a security team of at least one other PID. In one type of arrangement, when configured in a team processing mode, certain ones of the security functions or components operating for the benefit of the PID can be processed on one or more of the security team member devices. In another type of arrangement, the team of devices exchanges security-related information determined as a result of a single team member device's processing of one or more security-related tasks.

Team security for portable information devices

System for updating filtering rules for messages received by a plurality of users including a filtering rules database storing filtering rules for the users; means for distributing the filtering rules to the users; a user reputation database comprising a reputation weight for each user; and means for receiving and processing of user reports that indicate that a message belongs to a particular category. The means for receiving (i) calculates a message weight in its category based on a number of reports received from multiple users and a reputation weights of those users, (ii) decides whether the message belongs to the particular category if the message weight exceeds a predefined threshold, (iii) updates the filtering rules in the filtering rules database based on the deciding, and (iv) distributes the updated filtering rules from the filtering rules database to the users using the means for distributing.

System and method for filtering spam messages based on user reputation

A system and method for dynamic configuration of the security modules for optimization of execution of security tasks are provided. The system includes: a mechanism for identifying the clients connected to the network; a client data collection unit that determines hardware/software configurations of each detected client; a security module selection and installation unit that selects required modules for each client; a statistics collection unit that collects the security tasks execution statistics from user modules and from client modules; and a configuration unit that configures the client and server modules based on the collected statistics in order to optimize execution of the security tasks.

System and method for optimization of security tasks by configuring security modules

A system and method for dynamic configuration of the security modules for optimization of execution of security tasks are provided. The system includes: a client detection unit that finds the clients on the network; a client data collection unit that determines hardware/software configurations of each detected client; a security module selection and installation unit that selects required modules for each client from a modules database; a statistics collection unit that collects the security tasks execution statistics from user modules and from client modules; and a re-configuration unit that reconfigures the client and server modules based on the collected statistics in order to optimize execution of the security tasks.

System and method for optimization of execution of security tasks in local network

A portable information device includes a dynamically configurable security arrangement in which operational settings are automatically and dynamically configured based on a current set of security risks to which the device is exposed, on a current computing capacity of the portable information device, or both. The operational settings can be adjusted to control which security services or functions are to be executed locally by portable information device, and which of the security services or functions are to be executed remotely on at least one computing device that is distinct from the portable information device.

Self-delegating security arrangement for portable information devices

Disclosed are systems, methods and computer program products for detecting unknown security threats. In one example, a system receives from an antivirus application deployed on a user's computer information about an unknown security event associated with a software executing on the computer and a user's verdict indicating that the software is harmful or clean. The system identifies the user of the computer and a role of the user. The role indicates user's level of expertise in the field of computer security. If the user has a high level of expertise in computer security, the system accepts the user's verdict. If the user has a low level of expertise, the system analyzes the information about the security event to verify that the user's verdict is correct. If the user's verdict was accepted or verified to be correct, the system updates an antivirus database associated with the antivirus application.

System and method for detecting computer security threats based on verdicts of computer users

Disclosed are systems, methods and computer program products for dynamically allocating computing resources for processing security information. In one example, the system receives from an antivirus application deployed on a user's computer information about user's actions related to the security of said computer. The system analyzes the received information to determine user's level of expertise in the field of computer security. The system then classifies the user into one of two or more different roles based on the determined level of expertise. The system automatically selects, based on the user's role, configuration setting of the antivirus application for collecting information about security threats detected by the user. The system also automatically allocates and configures, based on the user's role, computing resources and services for processing information collected by the antivirus application deployed on the user's computer about security threats detected by the user.

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Moscow, Russia

Anton V Tikhomirov