Enhancing classification of data packets in an electronic device

A method of enhancing classification of data packets in an electronic device comprising:

• receiving, by an electronic device, a packet to be processed using a first service flow queue or a second service flow queue, the first service flow queue comprising at least one service flow;
• determining, by the electronic device, whether a packet to be processed using the second service flow queue is incorrectly classified for processing using the first service flow queue based on a delay in service flow in the first service flow queue caused by the packet;
• moving the incorrectly classified packets from the first service flow queue to the second service flow queue;
• transmitting a notification for the incorrectly classified packet to a machine learning algorithm (MLA), each notification including data related to the incorrectly classified packet;
• training the MLA using the data in the notifications;
• and
• categorizing, using the trained MLA, at least one new packet to be processed using the first service flow queue or the second service flow queue by modifying packet header information, wherein the at least one new packet is processed based on the category determined by the MLA.

A non-transitory computer-readable recording medium in an electronic device for enhancing classification of data packets in a network, the non-transitory computer-readable recording medium storing instructions which when executed by a hardware processor cause the non-transitory recording medium to perform steps comprising:

• receiving a packet to be processed using a first service flow queue or a second service flow queue, the first service flow queue comprising at least one service flow;
• determining whether a packet to be processed using the second service flow queue is incorrectly classified for processing using the first service flow queue based on a delay in service flow in the first service flow queue caused by the packet;
• moving the incorrectly classified packets from the first service flow queue to the second service flow queue;
• transmitting a notification for the incorrectly classified packet to a machine learning algorithm (MLA), each notification including data related to the incorrectly classified packet;
• training the MLA using the data in the notifications;
• and
• categorizing, using the trained MLA, at least one new packet to be processed using the first service flow queue or the second service flow queue by modifying packet header information, wherein the at least one new packet is processed based on the category determined by the MLA.