System and method for determining device attributes using a classifier hierarchy

A method for determining device attributes using a classifier hierarchy, comprising:

• extracting a plurality of features from device activity data;
• applying a first sub-model of a plurality of sub-models of a hierarchy, wherein each sub-model of the plurality of sub-models comprises a set of classifiers, and wherein each sub-model of the plurality of sub-models is configured to output a class for a device attribute when applied to the plurality of features based on its respective set of classifiers;
• iteratively traversing the hierarchy until a termination condition occurs, wherein each iteration of traversing the hierarchy comprises:
• determining a next sub-model at a next level in the hierarchy, wherein the next sub-model is specifically associated with the class output by a previous sub-model;
• and
• applying the next sub-model to the plurality of features;
• upon the termination condition occurring, determining a device attribute based on the class output by a last-applied sub-model.

A system for determining device attributes using a classifier hierarchy, comprising:

• a processing circuitry;
• and
• a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
• extract a plurality of features from device activity data;
• apply a first sub-model of a plurality of sub-models of a hierarchy, wherein each sub-model of the plurality of sub-models comprises a set of classifiers, and wherein each sub-model of the plurality of sub-models is configured to output a class for a device attribute when applied to the plurality of features based on its respective set of classifiers;
• iteratively traverse the hierarchy until a termination condition occurs, wherein each iteration of traversing the hierarchy comprises:
• determining a next sub-model at a next level in the hierarchy, wherein the next sub-model is specifically associated with the class output by a previous sub-model;
• and
• applying the next sub-model to the plurality of features;
• upon the termination condition occurring, determine a device attribute based on the class output by a last-applied sub-model.

A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprising:

• extracting a plurality of features from device activity data;
• applying a first sub-model of a plurality of sub-models of a hierarchy, wherein each sub-model of the plurality of sub-models comprises a set of classifiers, and wherein each sub-model of the plurality of sub-models is configured to output a class for a device attribute when applied to the plurality of features based on its respective set of classifiers;
• iteratively traversing the hierarchy until a termination condition occurs, wherein each iteration of traversing the hierarchy comprises:
• determining a next sub-model at a next level in the hierarchy, wherein the next sub-model is specifically associated with the class output by a previous sub-model;
• and
• applying the next sub-model to the plurality of features;
• upon the termination condition occurring, determining a device attribute based on the class output by a last-applied sub-model.