Some embodiments of the invention provide novel methods for using probabilistic filters to keep track of data message flows that are processed at an element (e.g., forwarding element or middlebox service element) of a network. In some embodiments, the method iteratively switches between two probabilistic filters as the active and backup filters as a way of maintaining and refreshing its active probabilistic filter without the need for maintaining time values for removing outdated records from its active filter.

Some embodiments of the invention provide novel methods for using probabilistic filters to keep track of data message flows that are processed at an element (e.g., forwarding element or middlebox service element) of a network. In some embodiments, the method iteratively switches between two probabilistic filters as the active and backup filters as a way of maintaining and refreshing its active probabilistic filter without the need for maintaining time values for removing outdated records from its active filter.

Some embodiments of the invention provide novel methods for using probabilistic filters to keep track of data message flows that are processed at an element (e.g., forwarding element or middlebox service element) of a network. In some embodiments, the method iteratively switches between two probabilistic filters as the active and backup filters as a way of maintaining and refreshing its active probabilistic filter without the need for maintaining time values for removing outdated records from its active filter.

Some embodiments of the invention provide novel methods for using probabilistic filters to keep track of data message flows that are processed at an element (e.g., forwarding element or middlebox service element) of a network. In some embodiments, the method iteratively switches between two probabilistic filters as the active and backup filters as a way of maintaining and refreshing its active probabilistic filter without the need for maintaining time values for removing outdated records from its active filter.

A computer-implementation method includes receiving a data packet; identifying a virtual queue from a list of virtual queues to which the data packet pertains; and determining whether the identified virtual queue size exceeds a threshold maximum size. When the first size does not exceed the threshold maximum size, the identified virtual queue is increased based on a size of the data packet and the data packet is forwarded. The method further includes setting a virtual queue from the list of virtual queues as a target queue; determining a service capacity based on an update time interval and increasing a credit allowance based on the service capacity. The target queue is reduced by an amount based on the credit allowance size, and the credit allowance is reduced by the same amount.

A communication device is a communication device connected to a mobility network which is a network mounted in a mobility and which is used by a plurality of electronic control devices for communication. The communication device includes: a holding unit which holds range information indicating a transferable path range determined for a message on the mobility network; a receiving unit which receives the message on the mobility network; and a determining unit which determines validity of the received message by using the range information.

Receiving, by a network device at a receiving time, one or more packets, each packet being one of a plurality of ordered packets in one of a plurality of streams received at the network device. Determining, by the network device for each received packet, a transmit time based on one timer common to the plurality of streams. Indexing, by the network device in a data store common to the plurality of streams, each packet by the determined transmit time. Transmitting, by the network device at each particular time corresponding to a determined transmit time, all packets in the data store indexed to the particular time.

Methods, systems, and devices for filtering network traffic from automated scanner are described. A device (e.g., an application server) may receive an activity message associated with an interaction with an electronic communication message and identify, from the activity message, at least a source identifier of the activity message and one or more attributes associated with the electronic communication message. The device may then add the activity message to a mapping of source identifiers and attributes associated with previously received activity messages and classify the activity message as being associated with an automated scanner based on a comparison of the received activity message to the mapping over a previous time window. Upon classifying the activity message, the device may transmit a classification result to an external server.

Methods, systems, and devices for filtering network traffic from automated scanner are described. A device (e.g., an application server) may receive an activity message associated with an interaction with an electronic communication message and identify, from the activity message, at least a source identifier of the activity message and one or more attributes associated with the electronic communication message. The device may then add the activity message to a mapping of source identifiers and attributes associated with previously received activity messages and classify the activity message as being associated with an automated scanner based on a comparison of the received activity message to the mapping over a previous time window. Upon classifying the activity message, the device may transmit a classification result to an external server.

Systems, methods, and computer-readable media are provided for generating a unique ID for a sensor in a network. Once the sensor is installed on a component of the network, the sensor can send attributes of the sensor to a control server of the network. The attributes of the sensor can include at least one unique identifier of the sensor or the host component of the sensor. The control server can determine a hash value using a one-way hash function and a secret key, send the hash value to the sensor, and designate the hash value as a sensor ID of the sensor. In response to receiving the sensor ID, the sensor can incorporate the sensor ID in subsequent communication messages. Other components of the network can verify the validity of the sensor using a hash of the at least one unique identifier of the sensor and the secret key.