EVENT SPECIFIC RELATIONSHIP GRAPH GENERATION AND APPLICATION IN A MACHINE DATA PROCESSING PLATFORM
First Claim
1. A method comprising:
- receiving event data representing an event on a computer network, the event data being indicative of a plurality of entities and an action involved in the event;
identifying the entities and a relationship between the entities, based on the action in the event data; and
creating, for the event, a record of the relationship between the entities by using a data structure representing a relationship graph, the relationship graph including at least two nodes and an edge between the two nodes, each node representing one of the entities, the edge representing the relationship between the entities.
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Accused Products
Abstract
A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
59 Citations
30 Claims
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1. A method comprising:
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receiving event data representing an event on a computer network, the event data being indicative of a plurality of entities and an action involved in the event; identifying the entities and a relationship between the entities, based on the action in the event data; and creating, for the event, a record of the relationship between the entities by using a data structure representing a relationship graph, the relationship graph including at least two nodes and an edge between the two nodes, each node representing one of the entities, the edge representing the relationship between the entities. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28)
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29. A computer system comprising:
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a communication device; and a processor configured to; receive, via the communication device, event data representing an event on a computer network, the event data being indicative of a plurality of entities and an action involved in the event; identify the entities and a relationship between the entities, based on the action in the event data; and create, for the event, a record of the relationship between the entities by using a data structure representing a relationship graph, the relationship graph including at least two nodes and an edge between the two nodes, each node representing one of the entities, the edge representing the relationship between the entities.
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30. A non-transitory machine-readable storage medium for use in a processing system, the non-transitory machine-readable storage medium storing instructions, an execution of which in the processing system causes the processing system to perform operations comprising:
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receiving event data representing an event on a computer network, the event data being indicative of a plurality of entities and an action involved in the event; identifying the entities and a relationship between the entities, based on the action in the event data; and creating, for the event, a record of the relationship between the entities by using a data structure representing a relationship graph, the relationship graph including at least two nodes and an edge between the two nodes, each node representing one of the entities, the edge representing the relationship between the entities.
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Specification