State-based entity behavior analysis
AssigneeWebroot Inc.
InventorsWilliam Wright, Bin Qiu, Thomas Caldwell
Life of this patent
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AssigneeWebroot Inc.
InventorsWilliam Wright, Bin Qiu, Thomas Caldwell
Estimating the term…
Examples of the present disclosure describe systems and methods for state-based entity behavior analysis. In an example, entities of a computing environment may be represented using a hierarchical entity web. In some examples, an entity may have a state associated with it, which may be modeled using a place/transition (PT) network. Events within the computing environment may be evaluated by transitions of a PT network to determine whether an entity should change state. If an entity transitions from one state to another, one or more actions may be performed, including, but not limited to, taking a remedial action, generating a recommendation, and updating the state of one or more associated entities. Thus, aspects disclosed herein may provide a high-level overview of the state of entities of a computing environment, but may also be used to view in-depth information of entities at lower levels of the hierarchical entity web.
A computer program product comprising a non-transitory computer readable medium storing instructions executable by a processor to perform a set of operations, the set of operations comprising:
A computer program product comprising a non-transitory computer readable medium storing instructions executable by a processor to perform a set of operations, the set of operations comprising:
A computer program product comprising a non-transitory computer readable medium storing instructions executable by a processor to perform a set of operations, the set of operations comprising:
The computer program product 14, wherein modifying the relationship comprises at least one of:
The computer program product 14, wherein associating the second entity with the updated state further comprises generating a second indication of a state change of the second entity.
The computer program product 14, wherein determining whether the second entity should change states comprises an evaluation of at least one of deterministic and stochastic factors.
The computer program product 14, wherein determining whether the second entity should change states comprises an evaluation using machine learning.
The computer program product 14, wherein the PT network comprises:
The computer program product 14, wherein performing the action for the first entity comprises at least one of:
Dependencies are inferred from the claim text.