Avast Software S.r.o.

Avg Netherlands B.v.

Jeroen De Knijf

Shaul Levi

Amit Siwal

Gerardus Fransiscus Johannes Van Der Kruis

David Makovsky

Maurice Mc Ginley

Vera Manuel De Francisco

In order to identify an unknown IoT device type, behavioral or statistical data of the device is collected and analyzed. A functional group may be created using behavioral data of devices of a known type. A behavior profile for the functional group may be generated and stored in a database. The behavioral data of the device of an unknown type is compared to the behavior profile of the functional group. When the similarity of the behavioral data of the device of an unknown type and the behavior profile exceeds a predetermined or configurable threshold, a device type associated with the functional group can be assigned to the device of a previously unknown type.

System and method for detecting unknown IoT device types by monitoring their behavior

Systems and method verify a user based on facial image data, without prior information about the user. A user name and facial image of the user are received. A search query comprising the user name can be issued to one or more search engines. Images returned as a result of the search query can be filtered to determine a set of candidate images. The images in the set of candidate images can be compared to the facial image of the use to determine a probability of a match. If there is a match, the user can be considered verified.

Online user verification without prior knowledge of the user

Malicious behavior of a device on a local network may be detected. A data stream from a device may be collected. A functional group may be created using behavioral data of devices of a known type. A behavior profile for the functional group may be generated and stored in a database. The data stream of the device is compared to the behavior profile of the functional group. A malicious behavior is indicated for the device in response to determining that the device's current behavior is not within a predetermined or configurable threshold of the behavior profile.

System and method for detecting malicious device by using a behavior analysis

Systems and methods provide real-time feedback of the effect of changes in router placement and physical configuration on the overall quality of device connections. This feedback assists a user to improve placement and physical configuration, until an optimal positioning or configuration is found.

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Amsterdam, Netherlands

Jeroen De Knijf