Abstract: Disclosed are various embodiments for verification of legitimate documents and identification of fraudulent documents using machine learning and artificial intelligence. A computing device can identify with a machine learning algorithm one or more fields from within an unverified document associated with an entity. The computing device can identify a verified document corresponding to the unverified document based at least in part on the entity. Then, the computing device can compare the one or more unverified fields of the unverified document to one or more verified fields of the verified document. Finally, the computing device can determine whether the unverified document is fraudulent based at least in part on the comparison of the one or more unverified fields to the one or more verified fields.

Abstract: In general, the disclosure describes techniques for dynamic application service level agreement (SLA) metric generation, distribution, and intent-based Software-Defined Wide Area Network (SD-WAN) link selection. For instance, a network device may determine a metric associated with an application or application-group. The network device may send the metric to a controller, and in response may receive from the controller a recommended SLA metric associated with the application or application-group. The network device may also compute an intent-based SLA metric based on the recommended SLA metric, one or more characteristics of one or more links connected to the network device, and a user configured intent model that defines a tolerance level to apply the recommended SLA metric. The network device may select, based on the intent-based SLA metric, a path to send traffic from the application or application-group.

Abstract: In general, the disclosure describes techniques for dynamic application service level agreement (SLA) metric generation, distribution, and intent-based Software-Defined Wide Area Network (SD-WAN) link selection. For instance, a network device may determine a metric associated with an application or application-group. The network device may send the metric to a controller, and in response may receive from the controller a recommended SLA metric associated with the application or application-group. The network device may also compute an intent-based SLA metric based on the recommended SLA metric, one or more characteristics of one or more links connected to the network device, and a user configured intent model that defines a tolerance level to apply the recommended SLA metric. The network device may select, based on the intent-based SLA metric, a path to send traffic from the application or application-group.

Abstract: Techniques are described for an enhanced two-way active measurement protocol (TWAMP) to measure network performance of links and/or network paths in a fully converged Software Defined Wide Area Network (SD-WAN), using a single TWAMP instance. In one example, a first network device executing a TWAMP session-sender may send a test packet embedded with one or more metrics to the TWAMP session-reflector executed by another network device, which reflects the test packet embedded with one or more metrics back to the TWAMP session-sender. The TWAMP session-sender may further reflect a test packet embedded with one or more additional metrics back to a TWAMP session-reflector to enable the network devices to independently perform network performance calculations using the metrics embedded within the test packets exchanged in a single TWAMP instance.

Abstract: In general, the disclosure describes techniques for dynamic application service level agreement (SLA) metric generation, distribution, and intent-based Software-Defined Wide Area Network (SD-WAN) link selection. For instance, a network device may determine a metric associated with an application or application-group. The network device may send the metric to a controller, and in response may receive from the controller a recommended SLA metric associated with the application or application-group. The network device may also compute an intent-based SLA metric based on the recommended SLA metric, one or more characteristics of one or more links connected to the network device, and a user configured intent model that defines a tolerance level to apply the recommended SLA metric. The network device may select, based on the intent-based SLA metric, a path to send traffic from the application or application-group.

Abstract: In general, the disclosure describes techniques for dynamic application service level agreement (SLA) metric generation, distribution, and intent-based Software-Defined Wide Area Network (SD-WAN) link selection. For instance, a network device may determine a metric associated with an application or application-group. The network device may send the metric to a controller, and in response may receive from the controller a recommended SLA metric associated with the application or application-group. The network device may also compute an intent-based SLA metric based on the recommended SLA metric, one or more characteristics of one or more links connected to the network device, and a user configured intent model that defines a tolerance level to apply the recommended SLA metric. The network device may select, based on the intent-based SLA metric, a path to send traffic from the application or application-group.

Abstract: Techniques are described for an enhanced two-way active measurement protocol (TWAMP) to measure network performance of links and/or network paths in a fully converged Software Defined Wide Area Network (SD-WAN), using a single TWAMP instance. In one example, a first network device executing a TWAMP session-sender may send a test packet embedded with one or more metrics to the TWAMP session-reflector executed by another network device, which reflects the test packet embedded with one or more metrics back to the TWAMP session-sender. The TWAMP session-sender may further reflect a test packet embedded with one or more additional metrics back to a TWAMP session-reflector to enable the network devices to independently perform network performance calculations using the metrics embedded within the test packets exchanged in a single TWAMP instance.

Abstract: In general, the disclosure describes techniques for dynamic application service level agreement (SLA) metric generation, distribution, and intent-based Software-Defined Wide Area Network (SD-WAN) link selection. For instance, a network device may determine a metric associated with an application or application-group. The network device may send the metric to a controller, and in response may receive from the controller a recommended SLA metric associated with the application or application-group. The network device may also compute an intent-based SLA metric based on the recommended SLA metric, one or more characteristics of one or more links connected to the network device, and a user configured intent model that defines a tolerance level to apply the recommended SLA metric. The network device may select, based on the intent-based SLA metric, a path to send traffic from the application or application-group.

Abstract: Techniques are described for an enhanced two-way active measurement protocol (TWAMP) to measure network performance of links and/or network paths in a fully converged Software Defined Wide Area Network (SD-WAN), using a single TWAMP instance. In one example, a first network device executing a TWAMP session-sender may send a test packet embedded with one or more metrics to the TWAMP session-reflector executed by another network device, which reflects the test packet embedded with one or more metrics back to the TWAMP session-sender. The TWAMP session-sender may further reflect a test packet embedded with one or more additional metrics back to a TWAMP session-reflector to enable the network devices to independently perform network performance calculations using the metrics embedded within the test packets exchanged in a single TWAMP instance.