Vmware, Inc.

Santhanakrishnan Kaliya Perumal

Margaret Angeline Petrus

Aditi Vutukuri

Tejas Sanjeev Panse

Rajiv Mordani

Some embodiments provide a method for identifying security threats to a datacenter. From multiple host computers in the datacenter, the method receives attribute sets for multiple flows. Each respective attribute set for a respective flow includes at least (i) a source identifier for the respective flow and (ii) an indicator as to whether the respective flow is indicative of the source of the respective flow being a security threat. For each of multiple source identifiers, the method aggregates the received attribute sets to generate an aggregate attribute set for the source identifier that includes a combined measurement of security threat indicators. For a particular source identifier, the method adjusts a security threat likelihood score for the source corresponding to the particular source identifier based on the combined measurement of security threat indicators for the source identifier.

Security threat detection based on network flow analysis

Some embodiments provide a method for identifying security threats to a datacenter. From multiple host computers in the datacenter, the method receives data indicating port usage for a particular time period for each of multiple destination data compute nodes (DCNs) executing on the host computers. For each DCN of a set of the destination DCNs, identifies whether the port usage for the particular time period deviates from a historical baseline port usage for the DCN. When the port usage for a particular DCN deviates from the historical baseline for the particular DCN, the method identifies the particular DCN as a target of a security threat.

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Cupertino, CA, United States of America

Santhanakrishnan Kaliya Perumal