The present disclosure relates to inferring a time zone of a node profile using electronic activities. A method can include accessing a plurality of electronic activities transmitted or received via a plurality of electronic accounts. The method can include identifying, for a node profile, a set of electronic activities sent from or received by an electronic account of the plurality of electronic accounts linked to the node profile within a time period. The method can include identifying, for each electronic activity of the set of electronic activities, a timestamp at which the electronic activity was sent or received. The method can include generating, for each of a plurality of time intervals within the time period, a temporal distribution of electronic activity based on respective timestamps of each electronic activity. The method can include determining a time zone of the node profile based on the temporal distribution.

The present disclosure relates to maintaining an electronic activity derived member node network. Exemplary implementations may: generate a plurality of node profiles; generate a node graph generated from the plurality of node profiles; identify a second electronic activity identifying a pair of electronic accounts; identify using the node graph, a pair of participant node profiles corresponding to the pair of electronic accounts identified by the second electronic activity; identify, using the node graph, an edge between a pair of nodes corresponding to the pair of participant node profiles; determine a relevancy score for the second electronic activity corresponding to the pair of the participant node profiles based on context of the second electronic activity; and update the node graph by modifying the connection corresponding to the edge between the pair of participant node profiles based on the relevancy score determined for the second electronic activity.

Some embodiments provide a method for a managed forwarding element (MFE). At the MFE, the method receives a first packet from a particular tunnel endpoint. The first packet originates from a particular data compute node associated with multiple tunnel endpoints including the particular tunnel endpoint. Based on the first packet, the method stores an association of the particular tunnel endpoint with the particular data compute node. The method uses the stored association to encapsulate subsequent packets received at the MFE and having the particular data compute node as a destination address with the particular tunnel endpoint as a destination tunnel endpoint.

In one embodiment, a Segment Routing network node provides efficiencies in processing and communicating Internet Protocol packets in a network. This Segment Routing node typically advertises (e.g., using Border Gateway Protocol) its Segment Routing processing capabilities, such as Penultimate Segment Pop (PSP) and/or Ultimate Segment Pop (USP) of a Segment Routing Header (including in the context of a packet that has multiple Segment Routing Headers). Subsequently, an Internet Protocol Segment Routing packet having multiple Segment Routing Headers is received. The packet is processed according to a Segment Routing function, with is processing including removing a first one of the Segment Routing Headers and forwarding the resultant Segment Routing packet. The value of the Segments Left field in the first Segment Routing Header identifies to perform PSP when the value is one, to perform USP when the value is zero, or to perform other processing.

An apparatus comprises: a memory; and a processor coupled to the memory and configured to: perform a random number generation; generate a host identifier (HID) based on the random number generation, wherein the HID is substantially unique within a local network; and generate, using the HID, an initial message requesting a local address. A method comprises: performing a random number generation; generating a host identifier (HID) based on the random number generation, wherein the HID is substantially unique within a local network; generating, using the HID, an initial message requesting a local address; and transmitting the initial message.

The present disclosure relates to systems and methods for filtering electronic activities. Exemplary implementations may include ingesting a first electronic activity; identifying an associated entity; and selecting a first filtering model based on the entity, the first filtering model trained to indicate whether to restrict further processing of ingested electronic activities. The method may further include generating a plurality of structured data tags for the first electronic activity; applying the selected first filtering model to the plurality of structured data tags for the first electronic activity to determine whether the first electronic activity satisfies a first restriction condition; and responsive to the first electronic activity satisfying the first restriction condition, restricting the first electronic activity from further processing; or responsive to the first electronic activity not satisfying the first restriction condition, further processing, by the one or more processors, the first electronic activity.

In one embodiment, new Segment Routing capabilities are used in the steering of packets through Segment Routing nodes in a network. A Segment List includes a set of one or more Segment List (SL) Groups, each of which identifies one or more Segments contiguously or non-contiguously stored in the Segment List (or stored across multiple Segment Lists) of a Segment Routing packet. Each SL Group typically includes one Segment that is encoded as a Segment Identifier, and may include Segments that are Extended Values. The steering order of SL Groups is not required to be the same order as they are listed in the Segment List, as the value of Segments Left may be increased, remain the same, or decreased (possibly to skip a next SL Group) and possibly based on the result of an evaluation of a conditional expression.

Techniques are described for analyzing data regarding activity in an IT environment to determine information regarding the entities associated with the activity and using the information to detect anomalous activity that may be indicative of malicious activity. In an embodiment, a plurality of events reflecting activity by a plurality of entities in an IT environment are processed to resolve the identities of the entities, discover how the entities fit within a topology of the IT environment, and determine what the entities are. This information is then used to generate an entity relationship graph that includes nodes representing the entities in the IT environment and edges connecting the nodes representing interaction relationships between the entities. In some embodiments, baselines are established by monitoring the activity between entities. This baseline information can be represented in the entity relationship graph in the form of directionality applied to the edges. The entity relationship graph can then be monitored to detect anomalous activity.

The present disclosure relates to systems and methods for removing electronic activities from systems of record based on filtering policies. The method includes accessing record objects of one or more systems of record. The method includes identifying a plurality of electronic activities stored in a record object of one of the systems of record. The method includes parsing the plurality of electronic activities. The method includes determining that one of the electronic activities is associated with an electronic account corresponding to a data source provider. The method includes selecting one or more filtering policies associated with the electronic account. The method includes applying the selected one or more filtering policies to the plurality of electronic activities to identify a subset of electronic activities. The method includes initiating a process to cause removal of at least one electronic activity of the subset of electronic activities from the system of record.

The system described herein can automatically match, link, or otherwise associate electronic activities with one or more record objects. For an electronic activity that is eligible or qualifies to be matched with one or more record objects, the system can identify one or more set of rules or rule sets. Using the rule sets, the system can identify candidate record objects. The system can then rank the identified candidate record objects to select one or more record objects with which to associate the electronic activity. The system can then store an association between the electronic activity and the selected one or more record objects.