Verizon Communications Inc.
Systems and methods for utilizing a neural network model to perform packet capture data analysis

Abstract:

A device may receive packet data identifying packets exchanged between client devices via a network of network devices. The device may classify the packet data based on timestamps and protocols associated with the packets and to generate classified packet data. The device may group the classified packet data into packet data sets corresponding to packet flows between pairs of the client devices. The device may select a packet data set, from the packet data sets, based on one or more filtering criteria. The device may process the packet data set to determine whether the packet data set is associated with one or more problem packets. The device may perform one or more actions based on determining whether the packet data set is associated with one or more problem packets.